From 848ca76060431714c2e07a5c3b5a58cb4c13f481 Mon Sep 17 00:00:00 2001 From: Ruofei Du Date: Sat, 18 Jul 2026 19:45:32 -0700 Subject: [PATCH 1/2] feat(web demo): Added a GNM web demo using XR Blocks Live demo: https://xrblocks.github.io/demos/gnm Introduces a purely browser-based demonstration for the Generative aNthropometric Model (GNM) that runs across desktop, mobile, and Android XR devices. This demo leverages the XR Blocks SDK for 3D scene management, rendering, and spatial UI. Key additions include: - Core WebGL/JS components: GNMModel, GNMControls, GNMScene, and SemanticSampler to handle model logic, rendering, and interactions. - Demo web application structure: index.html, main.js, and CSS files. - Python export utility (tools/export_gnm_web.py) to convert GNM weights into web-optimized binary formats. - Comprehensive README with instructions on running locally and fetching model assets (either dynamically via CDN or locally). - A teaser preview video and reference JSON cases. --- gnm/shape/demos/.gitignore | 2 + gnm/shape/demos/web/GNMControls.js | 751 ++++++++++++++++++ gnm/shape/demos/web/GNMModel.js | 551 +++++++++++++ gnm/shape/demos/web/GNMScene.js | 708 +++++++++++++++++ gnm/shape/demos/web/GNMSpatialUI.js | 488 ++++++++++++ gnm/shape/demos/web/README.md | 36 + gnm/shape/demos/web/SemanticSampler.js | 181 +++++ gnm/shape/demos/web/demo.css | 236 ++++++ gnm/shape/demos/web/gnm.css | 341 ++++++++ gnm/shape/demos/web/index.html | 55 ++ gnm/shape/demos/web/main.js | 85 ++ gnm/shape/demos/web/teaser/teaser.webm | Bin 0 -> 314094 bytes gnm/shape/demos/web/tools/export_gnm_web.py | 338 ++++++++ gnm/shape/demos/web/tools/reference_case.json | 74 ++ 14 files changed, 3846 insertions(+) create mode 100644 gnm/shape/demos/.gitignore create mode 100644 gnm/shape/demos/web/GNMControls.js create mode 100644 gnm/shape/demos/web/GNMModel.js create mode 100644 gnm/shape/demos/web/GNMScene.js create mode 100644 gnm/shape/demos/web/GNMSpatialUI.js create mode 100644 gnm/shape/demos/web/README.md create mode 100644 gnm/shape/demos/web/SemanticSampler.js create mode 100644 gnm/shape/demos/web/demo.css create mode 100644 gnm/shape/demos/web/gnm.css create mode 100644 gnm/shape/demos/web/index.html create mode 100644 gnm/shape/demos/web/main.js create mode 100644 gnm/shape/demos/web/teaser/teaser.webm create mode 100644 gnm/shape/demos/web/tools/export_gnm_web.py create mode 100644 gnm/shape/demos/web/tools/reference_case.json diff --git a/gnm/shape/demos/.gitignore b/gnm/shape/demos/.gitignore new file mode 100644 index 00000000..9c7c54c2 --- /dev/null +++ b/gnm/shape/demos/.gitignore @@ -0,0 +1,2 @@ +*.bin +*.mp4 diff --git a/gnm/shape/demos/web/GNMControls.js b/gnm/shape/demos/web/GNMControls.js new file mode 100644 index 00000000..2c648d49 --- /dev/null +++ b/gnm/shape/demos/web/GNMControls.js @@ -0,0 +1,751 @@ +/** + * GNMControls — DOM control panel for the GNM head demo. + * + * Provides the full parameter surface of the model: semantic sampling + * (gender/ethnicity identities, 20 expression classes), grouped PCA sliders + * for all 253 identity + 383 expression components, joint pose, animation + * drivers, and view options. Styling lives in gnm.css. + */ + +const MATERIAL_MODES = [ + ['studio', 'Studio'], + ['clay', 'Clay'], + ['normals', 'Normals'], + ['regions', 'Regions'], +]; + +const INITIAL_SLIDERS_PER_GROUP = 10; +const PARAM_RANGE = 3; + +function prettify(name) { + return name + .replace(/_region$/, '') + .replace(/_/g, ' ') + .replace(/^./, (c) => c.toUpperCase()); +} + +/** Splits ordered PCA names like head_000… into contiguous groups. */ +function groupParams(names) { + const groups = []; + let current = null; + names.forEach((name, index) => { + const key = name.replace(/_?\d+$/, '').replace(/_mean$/, ''); + if (!current || current.key !== key) { + current = {key, title: prettify(key), start: index, names: []}; + groups.push(current); + } + current.names.push(name); + }); + return groups; +} + +function gaussian() { + let u = 0; + while (u === 0) u = Math.random(); + return Math.sqrt(-2 * Math.log(u)) * Math.cos(2 * Math.PI * Math.random()); +} + +export class GNMControls { + constructor(model, samplers, scene) { + this.model = model; + this.samplers = samplers; + this.scene = scene; + this._paramInputs = new Map(); // 'identity:12' -> {input, output} + this._poseInputs = []; + scene.onModelChanged = () => this.syncParams(); + scene.onStatus = (text) => this.setStatus(text); + } + + attach() { + const meta = this.model.meta; + this.root = document.createElement('div'); + this.root.id = 'gnm-panel'; + // demo.css styles bare
as a fixed, full-width page banner, so the + // panel chrome uses scoped divs instead of semantic header/footer tags. + this.root.innerHTML = ` +
+
+

GNM Head Explorer

+

Generative aNthropometric Model v${meta.gnmVersion}

+
+ +
+
+ +
+
+ ${meta.numVertices.toLocaleString()} vertices · + ${(this.model.triangles.length / 3).toLocaleString()} triangles · + ${meta.identityDim + meta.expressionDim} parameters
+
+ + google/gnm — research model; see its README for representation + limitations.
+ google/xrblocks — the AI + XR SDK powering this + demo. +
`; + document.body.appendChild(this.root); + + this.statusElement = this.root.querySelector('#gnm-status'); + this.statsElement = this.root.querySelector('#gnm-stats'); + this.tabsElement = this.root.querySelector('#gnm-tabs'); + this.pagesElement = this.root.querySelector('#gnm-pages'); + this.root.querySelector('#gnm-collapse').addEventListener('click', () => { + this.root.classList.toggle('collapsed'); + this.root.querySelector('#gnm-collapse').textContent = + this.root.classList.contains('collapsed') ? '+' : '–'; + }); + + this._buildTabs([ + ['Sample', () => this._buildSampleTab()], + ['Identity', () => this._buildParamTab('identity')], + ['Expression', () => this._buildParamTab('expression')], + ['Pose', () => this._buildPoseTab()], + ['Animate', () => this._buildAnimateTab()], + ['View', () => this._buildViewTab()], + ]); + this._bindKeyboard(); + this._startStatsLoop(); + } + + // ------------------------------------------------------------------ tabs -- + + _buildTabs(tabs) { + this._pages = []; + tabs.forEach(([label, build], index) => { + const button = document.createElement('button'); + button.textContent = label; + button.addEventListener('click', () => this._selectTab(index)); + this.tabsElement.appendChild(button); + const page = document.createElement('div'); + page.className = 'gnm-page'; + this.pagesElement.appendChild(page); + const entry = {button, page, built: false}; + entry.buildInto = () => { + if (!entry.built) { + entry.built = true; + page.appendChild(build.call(this)); + } + }; + this._pages.push(entry); + }); + this._selectTab(0); + } + + _selectTab(index) { + this._pages.forEach((entry, i) => { + const active = i === index; + entry.button.classList.toggle('active', active); + entry.page.classList.toggle('active', active); + if (active) entry.buildInto(); + }); + this.syncParams(); + } + + _section(parent, title) { + const section = document.createElement('section'); + if (title) { + const heading = document.createElement('h2'); + heading.textContent = title; + section.appendChild(heading); + } + parent.appendChild(section); + return section; + } + + _button(parent, label, onClick, className = '') { + const button = document.createElement('button'); + button.className = `gnm-btn ${className}`; + button.textContent = label; + button.addEventListener('click', onClick); + parent.appendChild(button); + return button; + } + + _toggle(parent, label, initial, onChange) { + const row = document.createElement('label'); + row.className = 'gnm-toggle'; + const input = document.createElement('input'); + input.type = 'checkbox'; + input.checked = initial; + input.addEventListener('change', () => onChange(input.checked)); + row.appendChild(input); + row.appendChild(document.createTextNode(label)); + parent.appendChild(row); + return input; + } + + _slider(parent, label, min, max, step, value, onInput, onReset) { + const row = document.createElement('div'); + row.className = 'gnm-slider'; + const name = document.createElement('span'); + name.textContent = label; + const input = document.createElement('input'); + input.type = 'range'; + input.min = min; + input.max = max; + input.step = step; + input.value = value; + const output = document.createElement('output'); + output.textContent = (+value).toFixed(2); + input.addEventListener('input', () => { + output.textContent = (+input.value).toFixed(2); + onInput(+input.value); + }); + if (onReset) { + row.title = 'Double-click to reset'; + row.addEventListener('dblclick', () => { + input.value = onReset(); + output.textContent = (+input.value).toFixed(2); + }); + } + row.append(name, input, output); + parent.appendChild(row); + return {row, input, output}; + } + + // ---------------------------------------------------------------- sample -- + + _buildSampleTab() { + const fragment = document.createDocumentFragment(); + const identity = this._section(fragment, 'Semantic identity'); + identity.insertAdjacentHTML( + 'beforeend', + `
+ + +
` + ); + this._sigma = 0.9; + // Gender and ethnicity apply live (like the slider tabs); changing either + // re-rolls a new face of that demographic. + identity + .querySelector('#gnm-gender') + .addEventListener('change', () => this._sampleSemanticIdentity(true)); + identity + .querySelector('#gnm-ethnicity') + .addEventListener('change', () => this._sampleSemanticIdentity(true)); + + // The Variation slider is live too: it reuses the current face's random + // seed, so dragging exaggerates the same identity instead of re-rolling. + const sigmaRow = this._slider( + identity, + 'Variation', + 0, + 1.5, + 0.05, + 0.9, + (v) => { + this._sigma = v; + this._sampleSemanticIdentity(false, false); + } + ); + sigmaRow.row.classList.add('wide'); + const identityButtons = document.createElement('div'); + identityButtons.className = 'gnm-btn-row'; + this._button(identityButtons, 'New face', () => + this._sampleSemanticIdentity(true) + ); + this._button(identityButtons, 'Random mix', () => { + this.scene.sampleRandomIdentity(this._sigma); + this.setStatus('sampled a random identity mix'); + }); + this._button(identityButtons, 'Template', () => { + this.model.resetIdentity(); + this.syncParams(); + this.setStatus('template (mean) face'); + }); + identity.appendChild(identityButtons); + + const expression = this._section(fragment, 'Semantic expression'); + const chips = document.createElement('div'); + chips.className = 'gnm-chips'; + this.samplers.expressionClasses.forEach((label, index) => { + const chip = document.createElement('button'); + chip.className = 'gnm-chip'; + chip.textContent = prettify(label); + chip.addEventListener('click', () => { + this.scene.sampleExpression(index, this._sigma); + this.setStatus(`expression: ${prettify(label).toLowerCase()}`); + }); + chips.appendChild(chip); + }); + expression.appendChild(chips); + const expressionButtons = document.createElement('div'); + expressionButtons.className = 'gnm-btn-row'; + this._button(expressionButtons, 'Random blend', () => { + this.scene.sampleRandomExpression(this._sigma); + this.setStatus('random expression blend'); + }); + this._button(expressionButtons, 'Neutral', () => { + this.model.resetExpression(); + this.syncParams(); + this.setStatus('neutral expression'); + }); + expression.appendChild(expressionButtons); + return fragment; + } + + /** + * Samples an identity from the current gender/ethnicity selection. + * + * @param {boolean} reroll - When true, draws a fresh random seed (a new + * face). When false, reuses the last seed so only `sigma` changes, letting + * the Variation slider morph the same identity smoothly. + * @param {boolean} [smooth=true] - Whether to blend toward the new shape. + */ + _sampleSemanticIdentity(reroll, smooth = true) { + if (reroll || this._identitySeed === undefined) { + this._identitySeed = (Math.random() * 0x100000000) >>> 0; + } + const gender = this.root.querySelector('#gnm-gender').value; + const ethnicity = this.root.querySelector('#gnm-ethnicity').value; + const genderWeights = + gender === 'blend' + ? [1, 1] + : this.samplers.genders.map((g) => (g === gender ? 1 : 0)); + const ethnicityWeights = + ethnicity === 'blend' + ? [1, 1, 1, 1] + : this.samplers.ethnicities.map((e) => (e === ethnicity ? 1 : 0)); + // Reseed so the same selection + seed is reproducible; the Variation + // slider then only changes the latent scale, not the face. + this.samplers.seed(this._identitySeed); + this.scene.sampleIdentity( + genderWeights, + ethnicityWeights, + this._sigma, + smooth + ); + this.setStatus( + `sampled ${gender === 'blend' ? 'mixed' : gender} · ` + + `${ethnicity === 'blend' ? 'mixed' : prettify(ethnicity)}` + ); + } + + // ---------------------------------------------------------------- params -- + + _buildParamTab(kind) { + const fragment = document.createDocumentFragment(); + const names = + kind === 'identity' + ? this.model.meta.identityNames + : this.model.meta.expressionNames; + for (const group of groupParams(names)) { + const section = this._section( + fragment, + `${group.title} (${group.names.length})` + ); + const buttons = document.createElement('div'); + buttons.className = 'gnm-btn-row'; + this._button(buttons, 'Randomize', () => { + for (let i = 0; i < group.names.length; ++i) { + this._setParam(kind, group.start + i, gaussian()); + } + this.syncParams(); + }); + this._button(buttons, 'Zero', () => { + for (let i = 0; i < group.names.length; ++i) { + this._setParam(kind, group.start + i, 0); + } + this.syncParams(); + }); + section.appendChild(buttons); + const list = document.createElement('div'); + section.appendChild(list); + const buildRows = (from, to) => { + for (let i = from; i < to; ++i) { + const index = group.start + i; + const suffix = group.names[i].match(/(\d+|mean)$/)?.[1] ?? `${i}`; + const {input, output} = this._slider( + list, + suffix, + -PARAM_RANGE, + PARAM_RANGE, + 0.01, + this._getParam(kind, index), + (value) => { + this._setParam(kind, index, value); + this.scene.setPulse(kind, index); + }, + () => { + this._setParam(kind, index, 0); + return 0; + } + ); + this._paramInputs.set(`${kind}:${index}`, {input, output}); + } + }; + const initial = Math.min(INITIAL_SLIDERS_PER_GROUP, group.names.length); + buildRows(0, initial); + if (group.names.length > initial) { + const more = this._button( + section, + `Show all ${group.names.length}`, + () => { + buildRows(initial, group.names.length); + more.remove(); + this.syncParams(); + }, + 'ghost' + ); + } + } + return fragment; + } + + _getParam(kind, index) { + return kind === 'identity' + ? this.model.identity[index] + : this.model.expression[index]; + } + + _setParam(kind, index, value) { + if (kind === 'identity') this.model.setIdentityParam(index, value); + else this.model.setExpressionParam(index, value); + } + + // ------------------------------------------------------------------ pose -- + + _buildPoseTab() { + const fragment = document.createDocumentFragment(); + const tracking = this._section(fragment, 'Tracking'); + this._eyesToggle = this._toggle( + tracking, + 'Eyes follow camera', + this.scene.eyesFollowCamera, + (checked) => { + this.scene.eyesFollowCamera = checked; + this._updatePoseDisabled(); + } + ); + this._headToggle = this._toggle( + tracking, + 'Head follows camera', + this.scene.headFollowsCamera, + (checked) => { + this.scene.headFollowsCamera = checked; + this._updatePoseDisabled(); + } + ); + + const jointSpecs = [ + [0, 'Neck', 0.5], + [1, 'Head', 0.6], + [2, 'Left eye', 0.6], + [3, 'Right eye', 0.6], + ]; + const axes = ['pitch (x)', 'yaw (y)', 'roll (z)']; + for (const [joint, label, range] of jointSpecs) { + const section = this._section(fragment, label); + for (let axis = 0; axis < 3; ++axis) { + if (joint >= 2 && axis === 2) continue; // eye roll is not meaningful + const {input, output} = this._slider( + section, + axes[axis], + -range, + range, + 0.01, + this.model.rotations[joint * 3 + axis], + (value) => { + const o = joint * 3; + const r = this.model.rotations; + const next = [r[o], r[o + 1], r[o + 2]]; + next[axis] = value; + this.model.setJointRotation(joint, ...next); + this.scene._smoothedRotations.set(next, o); + } + ); + this._poseInputs.push({joint, axis, input, output}); + } + } + const translation = this._section(fragment, 'Translation (m)'); + ['x', 'y', 'z'].forEach((axis, index) => { + const {input, output} = this._slider( + translation, + axis, + -0.25, + 0.25, + 0.005, + this.model.translation[index], + (value) => { + const t = this.model.translation; + const next = [t[0], t[1], t[2]]; + next[index] = value; + this.model.setTranslation(...next); + } + ); + this._poseInputs.push({translationAxis: index, input, output}); + }); + const buttons = document.createElement('div'); + buttons.className = 'gnm-btn-row'; + this._button(buttons, 'Reset pose', () => { + this.model.resetPose(); + this.scene._smoothedRotations.fill(0); + this.syncParams(); + }); + fragment.appendChild(buttons); + this._updatePoseDisabled(); + return fragment; + } + + _updatePoseDisabled() { + for (const entry of this._poseInputs) { + if (entry.translationAxis !== undefined) continue; + const trackedEyes = this.scene.eyesFollowCamera && entry.joint >= 2; + const trackedHead = this.scene.headFollowsCamera && entry.joint === 1; + const sway = this.scene.idleSway && entry.joint === 0; + entry.input.disabled = trackedEyes || trackedHead || sway; + } + } + + // --------------------------------------------------------------- animate -- + + _buildAnimateTab() { + const fragment = document.createDocumentFragment(); + const drivers = this._section(fragment, 'Drivers'); + this._animToggles = { + tour: this._toggle( + drivers, + 'Expression tour (20 classes)', + false, + (checked) => this.scene.setExpressionTour(checked) + ), + morph: this._toggle( + drivers, + 'Identity morph (random walk)', + false, + (checked) => this.scene.setIdentityMorph(checked) + ), + pulse: this._toggle( + drivers, + 'Pulse last-touched slider ±2.3', + false, + (checked) => this.scene.setPulseEnabled(checked) + ), + sway: this._toggle(drivers, 'Idle neck sway', false, (checked) => { + this.scene.idleSway = checked; + this._updatePoseDisabled(); + }), + turntable: this._toggle(drivers, 'Turntable', false, (checked) => { + this.scene.turntable = checked; + }), + }; + const speed = this._section(fragment, 'Speed'); + this._slider(speed, 'Rate', 0.25, 2.5, 0.05, 1, (value) => { + this.scene.animationSpeed = value; + }); + const hint = document.createElement('p'); + hint.className = 'gnm-hint'; + hint.textContent = + 'Tip: touch any Identity/Expression slider first, then enable Pulse ' + + 'to see what that PCA component does.'; + fragment.appendChild(hint); + return fragment; + } + + // ------------------------------------------------------------------ view -- + + _buildViewTab() { + const fragment = document.createDocumentFragment(); + const material = this._section(fragment, 'Material'); + const modes = document.createElement('div'); + modes.className = 'gnm-btn-row'; + this._materialButtons = MATERIAL_MODES.map(([mode, label]) => { + const button = this._button( + modes, + label, + () => this.setMaterialMode(mode), + mode === this.scene.materialMode ? 'active' : '' + ); + button.dataset.mode = mode; + return button; + }); + material.appendChild(modes); + + const overlays = this._section(fragment, 'Overlays'); + this._wireToggle = this._toggle(overlays, 'Quad wireframe', false, (c) => + this.scene.setWireframeVisible(c) + ); + this._landmarkToggle = this._toggle( + overlays, + '68 facial landmarks', + false, + (c) => this.scene.setLandmarksVisible(c) + ); + this._skeletonToggle = this._toggle( + overlays, + 'Skeleton (neck → head → eyes)', + false, + (c) => this.scene.setSkeletonVisible(c) + ); + + const components = this._section(fragment, 'Mesh components'); + this._componentToggles = this.model.meta.componentNames.map((name, index) => + this._toggle(components, prettify(name), true, (checked) => + this.scene.setComponentVisible(index, checked) + ) + ); + + const exportSection = this._section(fragment, 'Export'); + const buttons = document.createElement('div'); + buttons.className = 'gnm-btn-row'; + this._button(buttons, 'Download OBJ', () => { + const blob = new Blob([this.scene.exportOBJ()], {type: 'text/plain'}); + const link = document.createElement('a'); + link.href = URL.createObjectURL(blob); + link.download = 'gnm_head.obj'; + link.click(); + URL.revokeObjectURL(link.href); + this.setStatus('exported gnm_head.obj'); + }); + exportSection.appendChild(buttons); + return fragment; + } + + setMaterialMode(mode) { + this.scene.setMaterialMode(mode); + this._materialButtons?.forEach((button) => + button.classList.toggle('active', button.dataset.mode === mode) + ); + } + + // ------------------------------------------------------------------ sync -- + + /** Reflects model parameter values into any built slider rows. */ + syncParams() { + for (const [key, {input, output}] of this._paramInputs) { + const [kind, index] = key.split(':'); + const value = this._getParam(kind, +index); + input.value = value; + output.textContent = value.toFixed(2); + } + for (const entry of this._poseInputs) { + const value = + entry.translationAxis !== undefined + ? this.model.translation[entry.translationAxis] + : this.model.rotations[entry.joint * 3 + entry.axis]; + entry.input.value = value; + entry.output.textContent = value.toFixed(2); + } + } + + setStatus(text) { + if (this.statusElement) this.statusElement.textContent = text; + } + + _startStatsLoop() { + let frames = 0; + let last = performance.now(); + const tick = () => { + frames++; + const now = performance.now(); + if (now - last >= 500) { + const fps = (frames * 1000) / (now - last); + this.statsElement.textContent = + `${fps.toFixed(0)} fps · mesh update ` + + `${this.scene.lastComputeMs.toFixed(1)} ms`; + frames = 0; + last = now; + // Keep sliders live while animation drivers run. + if ( + this.scene.tour || + this.scene.morph || + this.scene.pulseEnabled || + this.scene._idFade || + this.scene._exprFade + ) { + this.syncParams(); + } + // Reflect state changed from the spatial (XR) panels. + this._syncViewFromScene(); + } + requestAnimationFrame(tick); + }; + requestAnimationFrame(tick); + } + + /** Mirrors scene state into checkboxes/buttons built by this panel. */ + _syncViewFromScene() { + const scene = this.scene; + if (this._wireToggle) this._wireToggle.checked = scene.wireframe.visible; + if (this._landmarkToggle) { + this._landmarkToggle.checked = scene.landmarkMesh.visible; + } + if (this._skeletonToggle) { + this._skeletonToggle.checked = scene.skeletonGroup.visible; + } + this._componentToggles?.forEach((toggle, index) => { + toggle.checked = scene.visibleComponents[index]; + }); + this._materialButtons?.forEach((button) => + button.classList.toggle( + 'active', + button.dataset.mode === scene.materialMode + ) + ); + if (this._animToggles) { + this._animToggles.tour.checked = !!scene.tour; + this._animToggles.morph.checked = !!scene.morph; + this._animToggles.pulse.checked = scene.pulseEnabled; + this._animToggles.sway.checked = scene.idleSway; + this._animToggles.turntable.checked = scene.turntable; + } + if (this._eyesToggle && this._headToggle) { + const changed = + this._eyesToggle.checked !== scene.eyesFollowCamera || + this._headToggle.checked !== scene.headFollowsCamera; + this._eyesToggle.checked = scene.eyesFollowCamera; + this._headToggle.checked = scene.headFollowsCamera; + if (changed) this._updatePoseDisabled(); + } + } + + _bindKeyboard() { + document.addEventListener('keydown', (event) => { + const tag = document.activeElement?.tagName; + if (tag === 'INPUT' || tag === 'SELECT' || tag === 'TEXTAREA') return; + switch (event.key.toLowerCase()) { + case 'r': + this.scene.sampleRandomIdentity(this._sigma ?? 0.9); + this.setStatus('random identity (R)'); + break; + case 'e': + this.scene.sampleRandomExpression(this._sigma ?? 0.9); + this.setStatus('random expression (E)'); + break; + case 'n': + this.scene.resetToNeutral(); + this.syncParams(); + this.setStatus('neutral (N)'); + break; + case 't': + this.scene.setExpressionTour(!this.scene.tour); + break; + case 'w': + if (this._wireToggle) { + this._wireToggle.checked = !this._wireToggle.checked; + } + this.scene.setWireframeVisible( + this._wireToggle?.checked ?? !this.scene.wireframe.visible + ); + break; + case 'g': + this.scene.turntable = !this.scene.turntable; + break; + default: + return; + } + }); + } +} diff --git a/gnm/shape/demos/web/GNMModel.js b/gnm/shape/demos/web/GNMModel.js new file mode 100644 index 00000000..9034f1e8 --- /dev/null +++ b/gnm/shape/demos/web/GNMModel.js @@ -0,0 +1,551 @@ +/** + * GNMModel.js — JavaScript port of the GNM (Generative aNthropometric Model) + * head forward function, mirroring gnm/shape/gnm_common.py: + * + * bind = template + identity_basis^T id + expression_basis^T expr + * joints = template_joints + joint_identity_basis^T id + * world = LinearBlendSkinning(bind + pose_correctives, FK(joints, rotations)) + * + * The model data is read from a 'GNMW' container produced by + * tools/export_gnm_web.py. The large PCA bases are int8-quantized with one + * float32 scale per component; coefficients fold the scale in at accumulation + * time so dequantization is free. + * + * This file is dependency-free (typed arrays only) so it runs in Node for + * verification as well as in the browser. + */ + +const MAGIC = 0x474e4d57; // 'GNMW' +const EPSILON = 1e-8; +// Full re-accumulation after this many incremental slider updates bounds +// float32 drift. +const MAX_INCREMENTAL_UPDATES = 2000; + +const DTYPE_CTORS = { + float32: Float32Array, + int8: Int8Array, + uint8: Uint8Array, + uint16: Uint16Array, + int32: Int32Array, +}; + +/** Parses a GNMW container buffer into {meta, sections}. */ +export function parseContainer(buffer) { + const view = new DataView(buffer); + const magic = + (view.getUint8(0) << 24) | + (view.getUint8(1) << 16) | + (view.getUint8(2) << 8) | + view.getUint8(3); + if (magic !== MAGIC) { + throw new Error('Not a GNMW container.'); + } + const version = view.getUint32(4, true); + if (version !== 1) { + throw new Error(`Unsupported GNMW version ${version}.`); + } + const headerLength = view.getUint32(8, true); + const headerText = new TextDecoder().decode( + new Uint8Array(buffer, 12, headerLength) + ); + const header = JSON.parse(headerText); + const base = 12 + headerLength; + const sections = {}; + for (const section of header.sections) { + const Ctor = DTYPE_CTORS[section.dtype]; + sections[section.name] = new Ctor( + buffer, + base + section.offset, + section.byteLength / Ctor.BYTES_PER_ELEMENT + ); + } + return {meta: header.meta, sections}; +} + +/** Fetches a URL into an ArrayBuffer, reporting streaming progress. */ +export async function fetchWithProgress(url, onProgress) { + const response = await fetch(url); + if (!response.ok) { + throw new Error(`Failed to fetch ${url}: ${response.status}`); + } + const total = Number(response.headers.get('Content-Length')) || 0; + if (!response.body || !total) { + return await response.arrayBuffer(); + } + const reader = response.body.getReader(); + const data = new Uint8Array(total); + let received = 0; + for (;;) { + const {done, value} = await reader.read(); + if (done) break; + if (received + value.length > total) { + // Content-Length lied (e.g. proxy); fall back to chunk list. + const chunks = [data.subarray(0, received), value]; + for (;;) { + const next = await reader.read(); + if (next.done) break; + chunks.push(next.value); + } + const length = chunks.reduce((n, c) => n + c.length, 0); + const out = new Uint8Array(length); + let offset = 0; + for (const chunk of chunks) { + out.set(chunk, offset); + offset += chunk.length; + } + return out.buffer; + } + data.set(value, received); + received += value.length; + if (onProgress) onProgress(received / total); + } + return data.buffer.byteLength === received + ? data.buffer + : data.slice(0, received).buffer; +} + +/** Rodrigues' formula matching gnm_common.axis_angle_to_rotation_matrix. */ +export function axisAngleToMatrix(x, y, z, out, offset = 0) { + const normSquared = x * x + y * y + z * z; + const angle = Math.sqrt(Math.max(normSquared, EPSILON)); + const ax = x / angle; + const ay = y / angle; + const az = z / angle; + const s = Math.sin(angle); + const c = Math.cos(angle); + const t = 1 - c; + out[offset + 0] = c + t * ax * ax; + out[offset + 1] = t * ax * ay - s * az; + out[offset + 2] = t * ax * az + s * ay; + out[offset + 3] = t * ax * ay + s * az; + out[offset + 4] = c + t * ay * ay; + out[offset + 5] = t * ay * az - s * ax; + out[offset + 6] = t * ax * az - s * ay; + out[offset + 7] = t * ay * az + s * ax; + out[offset + 8] = c + t * az * az; +} + +export class GNMHeadModel { + constructor(meta, sections) { + this.meta = meta; + this.numVertices = meta.numVertices; + this.numJoints = meta.numJoints; + this.identityDim = meta.identityDim; + this.expressionDim = meta.expressionDim; + + this.template = sections.template; + this.triangles = sections.triangles; + this.quads = sections.quads; + this.templateJoints = sections.template_joints; + this.jointParents = sections.joint_parents; + this.skinningWeights = sections.skinning_weights; + this.jointIdentityBasis = sections.joint_identity_basis; + this.identityBasis = sections.identity_basis; + this.identityScales = sections.identity_scales; + this.expressionBasis = sections.expression_basis; + this.expressionScales = sections.expression_scales; + this.componentId = sections.component_id; + this.materialId = sections.material_id; + this.regionId = sections.region_id; + this.landmarkIndices = sections.landmark_indices; + this.landmarkWeights = sections.landmark_weights; + + const v3 = this.numVertices * 3; + // Parameters. + this.identity = new Float32Array(this.identityDim); + this.expression = new Float32Array(this.expressionDim); + this.rotations = new Float32Array(this.numJoints * 3); + this.translation = new Float32Array(3); + + // Cached linear-basis sums (bind-pose displacements). + this._idSum = new Float32Array(v3); + this._exprSum = new Float32Array(v3); + this._incrementalUpdates = 0; + + // Blend states (null when inactive). + this._idBlend = null; + this._exprBlend = null; + + // Scratch buffers for the pose pipeline. + this._bind = new Float32Array(v3); + this._jointsBind = new Float32Array(this.numJoints * 3); + this._rotWorld = new Float32Array(this.numJoints * 9); + this._skinTrans = new Float32Array(this.numJoints * 3); + this.jointsWorld = new Float32Array(this.numJoints * 3); + + this.dirty = true; + } + + static async load(url, onProgress) { + const buffer = await fetchWithProgress(url, onProgress); + const {meta, sections} = parseContainer(buffer); + return new GNMHeadModel(meta, sections); + } + + // ---------------------------------------------------------------- params -- + + /** Adds `factor` times basis component `index` into `sum`. */ + _addComponent(sum, basis, index, factor) { + if (factor === 0) return; + const offset = index * sum.length; + for (let j = 0, n = sum.length; j < n; ++j) { + sum[j] += basis[offset + j] * factor; + } + } + + _accumulate(sum, basis, scales, coefficients) { + sum.fill(0); + for (let i = 0; i < coefficients.length; ++i) { + const c = coefficients[i]; + if (c !== 0) this._addComponent(sum, basis, i, c * scales[i]); + } + } + + _maybeReaccumulate() { + if (++this._incrementalUpdates < MAX_INCREMENTAL_UPDATES) return; + this._incrementalUpdates = 0; + this._accumulate( + this._idSum, + this.identityBasis, + this.identityScales, + this.identity + ); + this._accumulate( + this._exprSum, + this.expressionBasis, + this.expressionScales, + this.expression + ); + } + + setIdentityParam(index, value) { + const delta = value - this.identity[index]; + if (delta === 0) return; + this.identity[index] = value; + this._addComponent( + this._idSum, + this.identityBasis, + index, + delta * this.identityScales[index] + ); + this._maybeReaccumulate(); + this.dirty = true; + } + + setExpressionParam(index, value) { + const delta = value - this.expression[index]; + if (delta === 0) return; + this.expression[index] = value; + this._addComponent( + this._exprSum, + this.expressionBasis, + index, + delta * this.expressionScales[index] + ); + this._maybeReaccumulate(); + this.dirty = true; + } + + setIdentityVector(values) { + this.identity.set(values.subarray ? values : Float32Array.from(values)); + this._accumulate( + this._idSum, + this.identityBasis, + this.identityScales, + this.identity + ); + this._idBlend = null; + this.dirty = true; + } + + setExpressionVector(values) { + this.expression.set(values.subarray ? values : Float32Array.from(values)); + this._accumulate( + this._exprSum, + this.expressionBasis, + this.expressionScales, + this.expression + ); + this._exprBlend = null; + this.dirty = true; + } + + resetIdentity() { + this.setIdentityVector(new Float32Array(this.identityDim)); + } + + resetExpression() { + this.setExpressionVector(new Float32Array(this.expressionDim)); + } + + setJointRotation(jointIndex, x, y, z) { + const o = jointIndex * 3; + this.rotations[o] = x; + this.rotations[o + 1] = y; + this.rotations[o + 2] = z; + this.dirty = true; + } + + setTranslation(x, y, z) { + this.translation[0] = x; + this.translation[1] = y; + this.translation[2] = z; + this.dirty = true; + } + + resetPose() { + this.rotations.fill(0); + this.translation.fill(0); + this.dirty = true; + } + + // ---------------------------------------------------------------- blends -- + // Blending exploits linearity: sum(lerp(a, b, t)) == lerp(sumA, sumB, t), + // so a full-vector crossfade costs one lerp over V*3 floats per frame + // instead of a (dim × V × 3) re-accumulation. + + _beginBlend(kind, target, basis, scales, current, currentSum) { + const targetArray = Float32Array.from(target); + const sumB = new Float32Array(currentSum.length); + this._accumulate(sumB, basis, scales, targetArray); + this[kind] = { + coeffA: Float32Array.from(current), + coeffB: targetArray, + sumA: Float32Array.from(currentSum), + sumB, + }; + } + + beginIdentityBlend(target) { + this._beginBlend( + '_idBlend', + target, + this.identityBasis, + this.identityScales, + this.identity, + this._idSum + ); + } + + beginExpressionBlend(target) { + this._beginBlend( + '_exprBlend', + target, + this.expressionBasis, + this.expressionScales, + this.expression, + this._exprSum + ); + } + + _applyBlend(blend, coefficients, sum, t) { + const s = 1 - t; + const {coeffA, coeffB, sumA, sumB} = blend; + for (let i = 0; i < coefficients.length; ++i) { + coefficients[i] = coeffA[i] * s + coeffB[i] * t; + } + for (let j = 0, n = sum.length; j < n; ++j) { + sum[j] = sumA[j] * s + sumB[j] * t; + } + this.dirty = true; + } + + setIdentityBlend(t) { + if (this._idBlend) { + this._applyBlend(this._idBlend, this.identity, this._idSum, t); + } + } + + setExpressionBlend(t) { + if (this._exprBlend) { + this._applyBlend(this._exprBlend, this.expression, this._exprSum, t); + } + } + + // --------------------------------------------------------------- forward -- + + _computeJointsBind() { + const out = this._jointsBind; + out.set(this.templateJoints); + const basis = this.jointIdentityBasis; + const stride = this.numJoints * 3; + for (let i = 0; i < this.identityDim; ++i) { + const c = this.identity[i]; + if (c === 0) continue; + const offset = i * stride; + for (let k = 0; k < stride; ++k) { + out[k] += basis[offset + k] * c; + } + } + } + + /** + * Forward kinematics matching gnm_common.joint_transforms_world, followed + * by the skinning-transform construction from linear_blend_skinning: + * per joint, rotation R_world and translation t_world − R_world·j_bind. + */ + _computeJointTransforms() { + const J = this.numJoints; + const joints = this._jointsBind; + const parents = this.jointParents; + const rotWorld = this._rotWorld; + const localRot = new Float32Array(9); + const worldTrans = this.jointsWorld; + + for (let j = 0; j < J; ++j) { + axisAngleToMatrix( + this.rotations[j * 3], + this.rotations[j * 3 + 1], + this.rotations[j * 3 + 2], + localRot, + 0 + ); + let lx, ly, lz; + if (j === 0) { + lx = joints[0] + this.translation[0]; + ly = joints[1] + this.translation[1]; + lz = joints[2] + this.translation[2]; + rotWorld.set(localRot, 0); + worldTrans[0] = lx; + worldTrans[1] = ly; + worldTrans[2] = lz; + } else { + const p = parents[j]; + lx = joints[j * 3] - joints[p * 3]; + ly = joints[j * 3 + 1] - joints[p * 3 + 1]; + lz = joints[j * 3 + 2] - joints[p * 3 + 2]; + const po = p * 9; + const jo = j * 9; + // rotWorld[j] = rotWorld[p] * localRot + for (let r = 0; r < 3; ++r) { + for (let c = 0; c < 3; ++c) { + rotWorld[jo + r * 3 + c] = + rotWorld[po + r * 3] * localRot[c] + + rotWorld[po + r * 3 + 1] * localRot[3 + c] + + rotWorld[po + r * 3 + 2] * localRot[6 + c]; + } + } + // worldTrans[j] = rotWorld[p] * local + worldTrans[p] + worldTrans[j * 3] = + rotWorld[po] * lx + + rotWorld[po + 1] * ly + + rotWorld[po + 2] * lz + + worldTrans[p * 3]; + worldTrans[j * 3 + 1] = + rotWorld[po + 3] * lx + + rotWorld[po + 4] * ly + + rotWorld[po + 5] * lz + + worldTrans[p * 3 + 1]; + worldTrans[j * 3 + 2] = + rotWorld[po + 6] * lx + + rotWorld[po + 7] * ly + + rotWorld[po + 8] * lz + + worldTrans[p * 3 + 2]; + } + } + + // Skinning translation: t_world − R_world · j_bind. + const skinTrans = this._skinTrans; + for (let j = 0; j < J; ++j) { + const jo = j * 9; + const bx = joints[j * 3]; + const by = joints[j * 3 + 1]; + const bz = joints[j * 3 + 2]; + skinTrans[j * 3] = + worldTrans[j * 3] - + (rotWorld[jo] * bx + rotWorld[jo + 1] * by + rotWorld[jo + 2] * bz); + skinTrans[j * 3 + 1] = + worldTrans[j * 3 + 1] - + (rotWorld[jo + 3] * bx + rotWorld[jo + 4] * by + rotWorld[jo + 5] * bz); + skinTrans[j * 3 + 2] = + worldTrans[j * 3 + 2] - + (rotWorld[jo + 6] * bx + rotWorld[jo + 7] * by + rotWorld[jo + 8] * bz); + } + } + + /** + * Runs the full forward pass and writes world-space vertices into `out` + * (Float32Array of length numVertices*3). Also refreshes `jointsWorld`. + */ + computeVertices(out) { + const V = this.numVertices; + const bind = this._bind; + const template = this.template; + const idSum = this._idSum; + const exprSum = this._exprSum; + for (let j = 0, n = V * 3; j < n; ++j) { + bind[j] = template[j] + idSum[j] + exprSum[j]; + } + + this._computeJointsBind(); + this._computeJointTransforms(); + + const weights = this.skinningWeights; + const rotWorld = this._rotWorld; + const skinTrans = this._skinTrans; + const J = this.numJoints; + for (let v = 0; v < V; ++v) { + const px = bind[v * 3]; + const py = bind[v * 3 + 1]; + const pz = bind[v * 3 + 2]; + let ox = 0; + let oy = 0; + let oz = 0; + for (let j = 0; j < J; ++j) { + const w = weights[j * V + v]; + if (w === 0) continue; + const jo = j * 9; + ox += + w * + (rotWorld[jo] * px + + rotWorld[jo + 1] * py + + rotWorld[jo + 2] * pz + + skinTrans[j * 3]); + oy += + w * + (rotWorld[jo + 3] * px + + rotWorld[jo + 4] * py + + rotWorld[jo + 5] * pz + + skinTrans[j * 3 + 1]); + oz += + w * + (rotWorld[jo + 6] * px + + rotWorld[jo + 7] * py + + rotWorld[jo + 8] * pz + + skinTrans[j * 3 + 2]); + } + out[v * 3] = ox; + out[v * 3 + 1] = oy; + out[v * 3 + 2] = oz; + } + this.dirty = false; + } + + /** Barycentric landmark extraction (68 × 3 vertices/weights). */ + computeLandmarks(vertices, out) { + const indices = this.landmarkIndices; + const weights = this.landmarkWeights; + const count = indices.length / 3; + for (let l = 0; l < count; ++l) { + let x = 0; + let y = 0; + let z = 0; + for (let k = 0; k < 3; ++k) { + const vi = indices[l * 3 + k] * 3; + const w = weights[l * 3 + k]; + x += vertices[vi] * w; + y += vertices[vi + 1] * w; + z += vertices[vi + 2] * w; + } + out[l * 3] = x; + out[l * 3 + 1] = y; + out[l * 3 + 2] = z; + } + return count; + } + + /** World-space rotation frame (row-major 3x3) of a joint after FK. */ + getJointWorldRotation(jointIndex) { + return this._rotWorld.subarray(jointIndex * 9, jointIndex * 9 + 9); + } +} diff --git a/gnm/shape/demos/web/GNMScene.js b/gnm/shape/demos/web/GNMScene.js new file mode 100644 index 00000000..de734997 --- /dev/null +++ b/gnm/shape/demos/web/GNMScene.js @@ -0,0 +1,708 @@ +import * as THREE from 'three'; +import {raycastSortFunction} from 'uiblocks'; +import * as xb from 'xrblocks'; + +import {GNMSpatialUI} from './GNMSpatialUI.js'; + +/** + * GNMScene — renders the GNM parametric head and animates it. + * + * Owns the Three.js mesh (positions streamed from GNMHeadModel), the material + * modes, wireframe / landmark / skeleton overlays, per-component visibility, + * gaze tracking, and the animation drivers (expression tour, identity morph, + * component pulse, idle sway, turntable). + */ + +const WORLD_HEAD_Y = 1.35; // where to place the head center in world space +const WORLD_HEAD_Z = -0.62; + +// Per-vertex material palette (indexed by material_id from the exporter: +// skin, teeth, gums, tongue, scleras, irises, pupils). +const MATERIAL_COLORS = [ + '#d9a183', + '#f2eddc', + '#c4726b', + '#b44f48', + '#f4f2ec', + '#5d4630', + '#100e0d', +]; + +const JOINT_LABELS = ['neck', 'head', 'left eye', 'right eye']; + +const TOUR_FADE_SECONDS = 0.9; +const TOUR_HOLD_SECONDS = 1.3; +const MORPH_FADE_SECONDS = 1.6; +const MORPH_HOLD_SECONDS = 0.9; + +export class GNMScene extends xb.Script { + constructor(model, samplers) { + super(); + this.model = model; + this.samplers = samplers; + + // View state. + this.materialMode = 'studio'; + this.visibleComponents = new Array(model.meta.componentNames.length).fill( + true + ); + + // Tracking / animation state. + this.eyesFollowCamera = true; + this.headFollowsCamera = false; + this.idleSway = false; + this.turntable = false; + this.animationSpeed = 1; + this.tour = null; // {phase, t, classIndex} + this.morph = null; // {phase, t} + this.pulse = null; // {kind: 'identity'|'expression', index, base} + this.pulseEnabled = false; + this._pulseTime = 0; + this._time = 0; + this._smoothedRotations = new Float32Array(model.numJoints * 3); + + this.lastComputeMs = 0; + /** Called when identity/expression change from inside the scene. */ + this.onModelChanged = null; + /** Called with a status string (e.g. current tour expression). */ + this.onStatus = null; + + // uiblocks UICore must be constructed with the owning Script. + this.spatialUI = new GNMSpatialUI(this); + } + + init() { + const model = this.model; + + // The head + overlays live under `anchor`, which is wrapped in a + // ModelViewer so the user can grab the pedestal to move it and grab the + // head to rotate it. The ModelViewer is positioned in _setupModelViewer() + // once the mesh (and thus its bounding box) exists. + this.anchor = new THREE.Group(); + this.modelViewer = new xb.ModelViewer({}); + this.modelViewer.add(this.anchor); + this.add(this.modelViewer); + + // ---- Geometry -------------------------------------------------------- + const geometry = new THREE.BufferGeometry(); + this.positionAttribute = new THREE.BufferAttribute( + new Float32Array(model.numVertices * 3), + 3 + ); + this.positionAttribute.setUsage(THREE.DynamicDrawUsage); + geometry.setAttribute('position', this.positionAttribute); + geometry.setAttribute( + 'color', + new THREE.BufferAttribute(this._buildMaterialColors(), 3) + ); + this._regionColors = null; // built lazily for the regions mode + this.fullIndex = new THREE.BufferAttribute(model.triangles, 1); + geometry.setIndex(this.fullIndex); + this.geometry = geometry; + + this.materials = { + studio: new THREE.MeshStandardMaterial({ + vertexColors: true, + roughness: 0.58, + metalness: 0.02, + polygonOffset: true, + polygonOffsetFactor: 1, + polygonOffsetUnits: 1, + }), + clay: new THREE.MeshStandardMaterial({ + color: 0xb9b2aa, + roughness: 0.82, + metalness: 0.0, + polygonOffset: true, + polygonOffsetFactor: 1, + polygonOffsetUnits: 1, + }), + normals: new THREE.MeshNormalMaterial({ + polygonOffset: true, + polygonOffsetFactor: 1, + polygonOffsetUnits: 1, + }), + regions: new THREE.MeshStandardMaterial({ + vertexColors: true, + roughness: 0.75, + metalness: 0.0, + polygonOffset: true, + polygonOffsetFactor: 1, + polygonOffsetUnits: 1, + }), + }; + this.mesh = new THREE.Mesh(geometry, this.materials.studio); + this.mesh.frustumCulled = false; + this.mesh.name = 'GNM Head'; + this.anchor.add(this.mesh); + + // ---- Wireframe (quad edges, sharing the position attribute) ---------- + const wireGeometry = new THREE.BufferGeometry(); + wireGeometry.setAttribute('position', this.positionAttribute); + wireGeometry.setIndex( + new THREE.BufferAttribute(this._buildQuadEdgeIndex(), 1) + ); + this.wireframe = new THREE.LineSegments( + wireGeometry, + new THREE.LineBasicMaterial({ + color: 0x30343c, + transparent: true, + opacity: 0.45, + }) + ); + this.wireframe.frustumCulled = false; + this.wireframe.visible = false; + // Overlay: never a reticle target — lines return no surface normal, which + // would otherwise trap the reticle at the origin (it also occludes the head + // because THREE raycasts objects even while hidden). + this.wireframe.ignoreReticleRaycast = true; + this.anchor.add(this.wireframe); + + // ---- Landmarks ------------------------------------------------------- + const landmarkCount = model.landmarkIndices.length / 3; + this.landmarkPoints = new Float32Array(landmarkCount * 3); + this.landmarkMesh = new THREE.InstancedMesh( + new THREE.SphereGeometry(0.0021, 10, 8), + new THREE.MeshBasicMaterial({color: 0x2fe3a8}), + landmarkCount + ); + this.landmarkMesh.frustumCulled = false; + this.landmarkMesh.visible = false; + this.landmarkMesh.ignoreReticleRaycast = true; // overlay, not a target + this.anchor.add(this.landmarkMesh); + + // ---- Skeleton -------------------------------------------------------- + this.jointMesh = new THREE.InstancedMesh( + new THREE.SphereGeometry(0.0055, 12, 10), + new THREE.MeshBasicMaterial({color: 0xffb037, depthTest: false}), + model.numJoints + ); + this.jointMesh.renderOrder = 10; + this.jointMesh.frustumCulled = false; + const bonePositions = new Float32Array((model.numJoints - 1) * 2 * 3); + this.boneAttribute = new THREE.BufferAttribute(bonePositions, 3); + this.boneAttribute.setUsage(THREE.DynamicDrawUsage); + const boneGeometry = new THREE.BufferGeometry(); + boneGeometry.setAttribute('position', this.boneAttribute); + this.boneLines = new THREE.LineSegments( + boneGeometry, + new THREE.LineBasicMaterial({color: 0xffb037, depthTest: false}) + ); + this.boneLines.renderOrder = 10; + this.boneLines.frustumCulled = false; + this.skeletonGroup = new THREE.Group(); + this.skeletonGroup.add(this.jointMesh, this.boneLines); + this.skeletonGroup.visible = false; + this.skeletonGroup.ignoreReticleRaycast = true; // overlay, not a target + this.anchor.add(this.skeletonGroup); + + // ---- Lights ---------------------------------------------------------- + const key = new THREE.DirectionalLight(0xfff1e0, 2.6); + key.position.set(0.7, 2.3, 0.9); + const fill = new THREE.DirectionalLight(0xbdd2ff, 1.0); + fill.position.set(-1.1, 1.4, 0.4); + const rim = new THREE.DirectionalLight(0xffffff, 1.6); + rim.position.set(-0.2, 1.9, -1.4); + const hemisphere = new THREE.HemisphereLight(0x93a4c0, 0x40382f, 0.9); + for (const light of [key, fill, rim]) { + light.target.position.set(0, WORLD_HEAD_Y, WORLD_HEAD_Z); + this.add(light.target); + this.add(light); + } + this.add(hemisphere); + + // Required for raycasting against uiblocks panels. + if (xb.core.input?.raycaster) { + xb.core.input.raycaster.sortFunction = raycastSortFunction; + } + this.spatialUI.build(); + + // First shape. + this.model.dirty = true; + this._refreshGeometry(); + + // Now that geometry exists, wrap it in the ModelViewer pedestal. + this._setupModelViewer(); + } + + /** + * Configures the ModelViewer around the head: a rotation proxy (grab the + * head to rotate) and a platform (grab the pedestal to move it), then places + * the whole thing so the head centre sits at the intended world position. + */ + _setupModelViewer() { + const viewer = this.modelViewer; + viewer.setupBoundingBox(); + viewer.setupRaycastCylinder(); + // A tighter pedestal than the default so it reads as a stand for the bust. + viewer.setupPlatform(new THREE.Vector2(0.12, 0.12)); + const size = new THREE.Vector3(); + viewer.bbox.getSize(size); + viewer.position.set(0, WORLD_HEAD_Y - size.y / 2, WORLD_HEAD_Z); + this._modelViewerHomeY = viewer.position.y; + } + + // -------------------------------------------------------------- helpers -- + + _buildMaterialColors() { + const model = this.model; + const palette = MATERIAL_COLORS.map((c) => new THREE.Color(c)); + const colors = new Float32Array(model.numVertices * 3); + for (let v = 0; v < model.numVertices; ++v) { + const color = palette[model.materialId[v]] ?? palette[0]; + colors[v * 3] = color.r; + colors[v * 3 + 1] = color.g; + colors[v * 3 + 2] = color.b; + } + return colors; + } + + _buildRegionColors() { + const model = this.model; + const regionCount = model.meta.regionNames.length; + const palette = []; + for (let i = 0; i < regionCount; ++i) { + palette.push(new THREE.Color().setHSL((i * 0.61803) % 1, 0.62, 0.55)); + } + const neutral = new THREE.Color('#6d6d70'); + const colors = new Float32Array(model.numVertices * 3); + for (let v = 0; v < model.numVertices; ++v) { + const id = model.regionId[v]; + const color = id === 255 ? neutral : palette[id]; + colors[v * 3] = color.r; + colors[v * 3 + 1] = color.g; + colors[v * 3 + 2] = color.b; + } + return colors; + } + + _buildQuadEdgeIndex() { + const quads = this.model.quads; + const V = this.model.numVertices; + const seen = new Set(); + const edges = []; + for (let q = 0; q < quads.length; q += 4) { + for (let k = 0; k < 4; ++k) { + const a = quads[q + k]; + const b = quads[q + ((k + 1) % 4)]; + const key = a < b ? a * V + b : b * V + a; + if (seen.has(key)) continue; + seen.add(key); + edges.push(a, b); + } + } + return Uint16Array.from(edges); + } + + /** Sends a status line to both the DOM panel and the spatial panels. */ + _emitStatus(text) { + this.onStatus?.(text); + this.spatialUI?.setStatus(text); + } + + // ------------------------------------------------------------ view state -- + + setMaterialMode(mode) { + if (!this.materials[mode]) return; + this.materialMode = mode; + if (mode === 'regions' && !this._regionColors) { + this._regionColors = new THREE.BufferAttribute( + this._buildRegionColors(), + 3 + ); + } + if (mode === 'regions') { + this.geometry.setAttribute('color', this._regionColors); + } else if (mode === 'studio') { + this.geometry.setAttribute( + 'color', + new THREE.BufferAttribute(this._buildMaterialColors(), 3) + ); + } + this.mesh.material = this.materials[mode]; + } + + setWireframeVisible(visible) { + this.wireframe.visible = visible; + } + + setLandmarksVisible(visible) { + this.landmarkMesh.visible = visible; + if (visible) this._updateLandmarks(); + } + + setSkeletonVisible(visible) { + this.skeletonGroup.visible = visible; + if (visible) this._updateSkeleton(); + } + + setComponentVisible(componentIndex, visible) { + this.visibleComponents[componentIndex] = visible; + const allVisible = this.visibleComponents.every(Boolean); + if (allVisible) { + this.geometry.setIndex(this.fullIndex); + return; + } + const {triangles, componentId} = this.model; + const filtered = []; + for (let t = 0; t < triangles.length; t += 3) { + if (this.visibleComponents[componentId[triangles[t]]]) { + filtered.push(triangles[t], triangles[t + 1], triangles[t + 2]); + } + } + this.geometry.setIndex( + new THREE.BufferAttribute(Uint16Array.from(filtered), 1) + ); + } + + // ------------------------------------------------------------- sampling -- + + sampleIdentity(genderWeights, ethnicityWeights, sigma, smooth = true) { + const target = this.samplers.sampleIdentity( + genderWeights, + ethnicityWeights, + sigma + ); + this._applyIdentity(target, smooth); + return target; + } + + sampleRandomIdentity(sigma = 1) { + this._applyIdentity(this.samplers.randomIdentity(sigma), true); + } + + sampleExpression(classWeights, sigma, smooth = true) { + const target = this.samplers.sampleExpression(classWeights, sigma); + this._applyExpression(target, smooth); + return target; + } + + sampleRandomExpression(sigma = 1) { + this._applyExpression(this.samplers.randomExpression(sigma), true); + } + + resetToNeutral() { + this.setExpressionTour(false); + this.setIdentityMorph(false); + this.model.resetExpression(); + this.model.resetPose(); + this._smoothedRotations.fill(0); + this.onModelChanged?.(); + } + + _applyIdentity(target, smooth) { + this.morph = null; + if (smooth) { + this.model.beginIdentityBlend(target); + this._idFade = {t: 0}; + } else { + this.model.setIdentityVector(target); + } + this.onModelChanged?.(); + } + + _applyExpression(target, smooth) { + this.tour = null; + if (smooth) { + this.model.beginExpressionBlend(target); + this._exprFade = {t: 0}; + } else { + this.model.setExpressionVector(target); + } + this.onModelChanged?.(); + } + + // ------------------------------------------------------------ animation -- + + setExpressionTour(enabled) { + this.tour = enabled ? {phase: 'fade', t: 0, classIndex: 0} : null; + if (enabled) { + this._startTourStep(0); + } else { + this._emitStatus(''); + } + } + + setIdentityMorph(enabled) { + this.morph = enabled ? {phase: 'fade', t: 0} : null; + if (enabled) { + this.model.beginIdentityBlend(this.samplers.randomIdentity(1)); + } + } + + setPulse(kind, index) { + this.pulse = {kind, index, base: this._paramValue(kind, index)}; + this._pulseTime = 0; + } + + setPulseEnabled(enabled) { + if (!enabled && this.pulse) { + this._setParamValue(this.pulse.kind, this.pulse.index, this.pulse.base); + this.onModelChanged?.(); + } + this.pulseEnabled = enabled; + this._pulseTime = 0; + if (enabled && this.pulse) { + this.pulse.base = this._paramValue(this.pulse.kind, this.pulse.index); + } + } + + _paramValue(kind, index) { + return kind === 'identity' + ? this.model.identity[index] + : this.model.expression[index]; + } + + _setParamValue(kind, index, value) { + if (kind === 'identity') this.model.setIdentityParam(index, value); + else this.model.setExpressionParam(index, value); + } + + _startTourStep(classIndex) { + const target = this.samplers.sampleExpression(classIndex, 0.85); + this.model.beginExpressionBlend(target); + this.tour = {phase: 'fade', t: 0, classIndex}; + const label = this.samplers.expressionClasses[classIndex].replace( + /_/g, + ' ' + ); + this._emitStatus(`expression tour — ${label}`); + } + + _updateTour(dt) { + const tour = this.tour; + tour.t += dt; + if (tour.phase === 'fade') { + const t = Math.min(tour.t / TOUR_FADE_SECONDS, 1); + this.model.setExpressionBlend(smoothstep(t)); + if (t >= 1) { + tour.phase = 'hold'; + tour.t = 0; + } + } else if (tour.t >= TOUR_HOLD_SECONDS) { + const next = + (tour.classIndex + 1) % this.samplers.expressionClasses.length; + this._startTourStep(next); + } + } + + _updateMorph(dt) { + const morph = this.morph; + morph.t += dt; + if (morph.phase === 'fade') { + const t = Math.min(morph.t / MORPH_FADE_SECONDS, 1); + this.model.setIdentityBlend(smoothstep(t)); + if (t >= 1) { + morph.phase = 'hold'; + morph.t = 0; + } + } else if (morph.t >= MORPH_HOLD_SECONDS) { + this.model.beginIdentityBlend(this.samplers.randomIdentity(1)); + morph.phase = 'fade'; + morph.t = 0; + } + } + + _updatePulse(dt) { + if (!this.pulseEnabled || !this.pulse) return; + this._pulseTime += dt; + const value = this.pulse.base + 2.3 * Math.sin(this._pulseTime * 2.6); + this._setParamValue(this.pulse.kind, this.pulse.index, value); + } + + _updateGaze(dt) { + const camera = xb.core?.camera; + if (!camera) return; + const model = this.model; + const target = this._tmpTarget ?? (this._tmpTarget = new THREE.Vector3()); + camera.getWorldPosition(target); + this.anchor.worldToLocal(target); + + const setLook = (jointIndex, parentIndex, maxAngle, rate) => { + const jw = model.jointsWorld; + const jx = jw[jointIndex * 3]; + const jy = jw[jointIndex * 3 + 1]; + const jz = jw[jointIndex * 3 + 2]; + let dx = target.x - jx; + let dy = target.y - jy; + let dz = target.z - jz; + const length = Math.hypot(dx, dy, dz) || 1; + dx /= length; + dy /= length; + dz /= length; + // Direction in the parent joint's frame (rows of R^T are columns of R). + const parentRotation = model.getJointWorldRotation(parentIndex); + const lx = + parentRotation[0] * dx + + parentRotation[3] * dy + + parentRotation[6] * dz; + const ly = + parentRotation[1] * dx + + parentRotation[4] * dy + + parentRotation[7] * dz; + const lz = + parentRotation[2] * dx + + parentRotation[5] * dy + + parentRotation[8] * dz; + // Rotation taking +z to (lx, ly, lz): axis = z × d, angle = atan2. + let axisX = -ly; + let axisY = lx; + const sinAngle = Math.hypot(axisX, axisY); + let angle = Math.atan2(sinAngle, lz); + if (sinAngle > 1e-6) { + axisX /= sinAngle; + axisY /= sinAngle; + } else { + axisX = 0; + axisY = 0; + angle = 0; + } + angle = Math.min(angle, maxAngle); + const targetRx = axisX * angle; + const targetRy = axisY * angle; + const blend = 1 - Math.exp(-rate * dt); + const o = jointIndex * 3; + const smoothed = this._smoothedRotations; + smoothed[o] += (targetRx - smoothed[o]) * blend; + smoothed[o + 1] += (targetRy - smoothed[o + 1]) * blend; + smoothed[o + 2] += (0 - smoothed[o + 2]) * blend; + model.setJointRotation(jointIndex, smoothed[o], smoothed[o + 1], 0); + }; + + if (this.headFollowsCamera) setLook(1, 0, 0.42, 4); + if (this.eyesFollowCamera) { + setLook(2, 1, 0.55, 12); + setLook(3, 1, 0.55, 12); + } + } + + _updateIdleSway(time) { + const sway = 0.05; + this.model.setJointRotation( + 0, + Math.sin(time * 0.53) * sway * 0.6, + Math.sin(time * 0.31) * sway, + Math.sin(time * 0.43) * sway * 0.35 + ); + } + + // --------------------------------------------------------------- update -- + + update() { + const dt = + Math.min(xb.core?.timer?.getDelta?.() ?? 0.016, 0.1) * + this.animationSpeed || 0.016; + this._time += dt; + + if (this.turntable) this.anchor.rotation.y += dt * 0.6; + if (this.tour) this._updateTour(dt); + if (this.morph) this._updateMorph(dt); + if (this._idFade) { + this._idFade.t += dt / 1.1; + this.model.setIdentityBlend(smoothstep(Math.min(this._idFade.t, 1))); + if (this._idFade.t >= 1) this._idFade = null; + } + if (this._exprFade) { + this._exprFade.t += dt / 0.7; + this.model.setExpressionBlend(smoothstep(Math.min(this._exprFade.t, 1))); + if (this._exprFade.t >= 1) this._exprFade = null; + } + this._updatePulse(dt); + if (this.idleSway) this._updateIdleSway(this._time); + if (this.eyesFollowCamera || this.headFollowsCamera) this._updateGaze(dt); + + this.spatialUI?.update(); + if (this.model.dirty) this._refreshGeometry(); + } + + _refreshGeometry() { + const start = performance.now(); + this.model.computeVertices(this.positionAttribute.array); + this.positionAttribute.needsUpdate = true; + this.geometry.computeVertexNormals(); + this.geometry.boundingSphere = null; + if (this.landmarkMesh.visible) this._updateLandmarks(); + if (this.skeletonGroup.visible) this._updateSkeleton(); + this.lastComputeMs = performance.now() - start; + } + + _updateLandmarks() { + const count = this.model.computeLandmarks( + this.positionAttribute.array, + this.landmarkPoints + ); + const matrix = this._tmpMatrix ?? (this._tmpMatrix = new THREE.Matrix4()); + for (let l = 0; l < count; ++l) { + matrix.makeTranslation( + this.landmarkPoints[l * 3], + this.landmarkPoints[l * 3 + 1], + this.landmarkPoints[l * 3 + 2] + ); + this.landmarkMesh.setMatrixAt(l, matrix); + } + this.landmarkMesh.instanceMatrix.needsUpdate = true; + } + + _updateSkeleton() { + const model = this.model; + const joints = model.jointsWorld; + const matrix = this._tmpMatrix ?? (this._tmpMatrix = new THREE.Matrix4()); + for (let j = 0; j < model.numJoints; ++j) { + matrix.makeTranslation( + joints[j * 3], + joints[j * 3 + 1], + joints[j * 3 + 2] + ); + this.jointMesh.setMatrixAt(j, matrix); + } + this.jointMesh.instanceMatrix.needsUpdate = true; + const bones = this.boneAttribute.array; + let b = 0; + for (let j = 1; j < model.numJoints; ++j) { + const p = model.jointParents[j]; + bones[b++] = joints[p * 3]; + bones[b++] = joints[p * 3 + 1]; + bones[b++] = joints[p * 3 + 2]; + bones[b++] = joints[j * 3]; + bones[b++] = joints[j * 3 + 1]; + bones[b++] = joints[j * 3 + 2]; + } + this.boneAttribute.needsUpdate = true; + } + + // ---------------------------------------------------------------- export -- + + exportOBJ() { + const positions = this.positionAttribute.array; + const normals = this.geometry.getAttribute('normal').array; + const triangles = this.model.triangles; + const lines = ['# GNM Head — exported from the XR Blocks GNM demo']; + for (let v = 0; v < positions.length; v += 3) { + lines.push( + `v ${positions[v].toFixed(6)} ${positions[v + 1].toFixed(6)} ` + + `${positions[v + 2].toFixed(6)}` + ); + } + for (let v = 0; v < normals.length; v += 3) { + lines.push( + `vn ${normals[v].toFixed(4)} ${normals[v + 1].toFixed(4)} ` + + `${normals[v + 2].toFixed(4)}` + ); + } + for (let t = 0; t < triangles.length; t += 3) { + const a = triangles[t] + 1; + const b = triangles[t + 1] + 1; + const c = triangles[t + 2] + 1; + lines.push(`f ${a}//${a} ${b}//${b} ${c}//${c}`); + } + return lines.join('\n'); + } + + get jointLabels() { + return JOINT_LABELS; + } +} + +function smoothstep(t) { + return t * t * (3 - 2 * t); +} diff --git a/gnm/shape/demos/web/GNMSpatialUI.js b/gnm/shape/demos/web/GNMSpatialUI.js new file mode 100644 index 00000000..42a96190 --- /dev/null +++ b/gnm/shape/demos/web/GNMSpatialUI.js @@ -0,0 +1,488 @@ +import * as THREE from 'three'; +import {ManipulationBehavior, UICore, UIIcon, UIPanel, UIText} from 'uiblocks'; + +/** + * GNMSpatialUI — in-headset control surface built with the uiblocks addon + * (flexbox-laid-out spatial cards; see src/addons/uiblocks/SKILL.md). + * + * Three draggable UICards arranged around the head mirror the desktop panel: + * SAMPLE (left) semantic identity recipe + all 20 expression + * classes (paged chips), random blend, neutral. + * MOTION (right, top) gaze tracking and animation driver toggles. + * VIEW (right, bottom) material modes and inspection overlays. + * + * Buttons are composed UIPanel + UIText (uiblocks has no button class) and + * reflect live scene state — also when changed from the DOM panel — via + * update(), called from GNMScene.update(). + */ + +// Design tokens (§6.1 of the uiblocks skill): one density, a small type +// scale, spacing rhythm, two radii, and a restrained hex palette. +const PIXEL_SIZE = 0.0015; +const SURFACE = '#12161f'; +const CONTROL = '#232a38'; +const CONTROL_HOVER = '#31394c'; +const CONTROL_ACTIVE = '#1d4238'; +const ACCENT = '#4fe0ae'; +const TEXT = '#f0f3f8'; +const MUTED = '#93a0b8'; +const STROKE = '#333a4c'; +const RADIUS_CARD = 24; +const RADIUS_CONTROL = 12; + +const CHIPS_PER_PAGE = 8; + +function prettify(name) { + return name.replace(/_/g, ' ').replace(/^./, (c) => c.toUpperCase()); +} + +export class GNMSpatialUI { + /** @param scene The owning GNMScene (an xb.Script). */ + constructor(scene) { + this.scene = scene; + this.model = scene.model; + this.samplers = scene.samplers; + this.uiCore = new UICore(scene); + + this._genderWeights = [1, 1]; + this._ethnicityWeights = [1, 1, 1, 1]; + this._chipPage = 0; + this._chips = []; + this._toggles = []; // {button, get} + this._modeButtons = []; // {button, mode} + this._recipeButtons = {gender: [], ethnicity: []}; + this._lastStates = new Map(); + } + + build() { + this._buildSampleCard(); + this._buildMotionCard(); + this._buildViewCard(); + this._highlightRecipe(); + this._renderChipPage(); + } + + setStatus(text) { + this._statusText?.setText(text || ' '); + } + + // ------------------------------------------------------------ primitives -- + + _card(name, sizeX, sizeY, x, y, z, rotationY) { + return this.uiCore.createCard({ + name, + sizeX, + sizeY, + pixelSize: PIXEL_SIZE, + position: new THREE.Vector3(x, y, z), + rotation: new THREE.Quaternion().setFromEuler( + new THREE.Euler(0, rotationY, 0) + ), + behaviors: [ + new ManipulationBehavior({ + draggable: true, + faceCamera: true, + manipulationMargin: 24, + manipulationCornerRadius: RADIUS_CARD, + }), + ], + }); + } + + _surface(card, {padding = 20, gap = 12} = {}) { + const panel = new UIPanel({ + width: '100%', + height: '100%', + flexDirection: 'column', + fillColor: SURFACE, + cornerRadius: RADIUS_CARD, + padding, + gap, + strokeWidth: 1, + strokeColor: STROKE, + strokeAlign: 'inside', + dropShadowColor: '#000000', + dropShadowBlur: 20, + dropShadowSpread: 2, + }); + card.add(panel); + return panel; + } + + _header(parent, icon, title) { + const row = new UIPanel({ + width: '100%', + flexDirection: 'row', + alignItems: 'center', + gap: 10, + }); + row.add(new UIIcon(icon, {width: 26, height: 26, color: ACCENT})); + row.add(new UIText(title, {fontSize: 24, fontWeight: 'bold', color: TEXT})); + parent.add(row); + return row; + } + + _sectionLabel(parent, label) { + parent.add( + new UIText(label, {fontSize: 14, fontWeight: 'bold', color: MUTED}) + ); + } + + _row(parent, {gap = 10, height} = {}) { + const row = new UIPanel({ + width: '100%', + flexDirection: 'row', + gap, + ...(height ? {height} : {}), + alignItems: 'center', + }); + parent.add(row); + return row; + } + + /** Composes a button from UIPanel + UIText (uiblocks skill §5.3). */ + _button( + parent, + label, + {fontSize = 16, height = 40, accent = false, onClick} + ) { + const state = { + hovered: false, + base: CONTROL, + textColor: accent ? ACCENT : TEXT, + }; + const panel = new UIPanel({ + flexGrow: 1, + height, + cornerRadius: RADIUS_CONTROL, + fillColor: state.base, + justifyContent: 'center', + alignItems: 'center', + padding: 4, + onHoverEnter: () => { + state.hovered = true; + panel.setFillColor(CONTROL_HOVER); + }, + onHoverExit: () => { + state.hovered = false; + panel.setFillColor(state.base); + }, + onClick: () => { + onClick?.(); + return true; + }, + }); + const text = new UIText(label, { + fontSize, + color: state.textColor, + textAlign: 'center', + }); + panel.add(text); + parent.add(panel); + const button = { + panel, + text, + setActive(active) { + state.base = active ? CONTROL_ACTIVE : CONTROL; + text.setColor(active ? ACCENT : state.textColor); + if (!state.hovered) panel.setFillColor(state.base); + }, + setLabel(value) { + text.setText(value); + }, + }; + return button; + } + + // ----------------------------------------------------------------- cards -- + + _buildSampleCard() { + const card = this._card('GNMSample', 0.6, 0.8, -0.62, 1.32, -0.46, 0.6); + const root = this._surface(card); + + this._header(root, 'face', 'GNM Sample'); + this._sectionLabel(root, 'IDENTITY'); + + const genderRow = this._row(root); + this._recipeButtons.gender = [ + ['Female', 0], + ['Male', 1], + ['Mix', -1], + ].map(([label, index]) => + this._button(genderRow, label, { + fontSize: 15, + height: 36, + onClick: () => this._pickGender(index), + }) + ); + + const ethnicityRow = this._row(root, {gap: 8}); + this._recipeButtons.ethnicity = [ + ['Mid-East', 0], + ['Asian', 1], + ['White', 2], + ['Black', 3], + ['Mix', -1], + ].map(([label, index]) => + this._button(ethnicityRow, label, { + fontSize: 12, + height: 36, + onClick: () => this._pickEthnicity(index), + }) + ); + + const identityActions = this._row(root); + this._button(identityActions, 'New face', { + accent: true, + onClick: () => this._sampleIdentity(), + }); + this._button(identityActions, 'Template', { + onClick: () => { + this.model.resetIdentity(); + this.scene.onModelChanged?.(); + this.scene._emitStatus('template (mean) face'); + }, + }); + + this._sectionLabel(root, 'EXPRESSION'); + + const classes = this.samplers.expressionClasses; + for (let r = 0; r < CHIPS_PER_PAGE / 4; ++r) { + const chipRow = this._row(root, {gap: 8}); + for (let c = 0; c < 4; ++c) { + const chip = this._button(chipRow, '', { + fontSize: 12, + height: 40, + onClick: () => { + if (chip.classIndex === undefined || chip.classIndex < 0) return; + this.scene.sampleExpression(chip.classIndex, 0.9); + this.scene._emitStatus( + `expression: ${classes[chip.classIndex].replace(/_/g, ' ')}` + ); + }, + }); + this._chips.push(chip); + } + } + + const pageCount = Math.ceil(classes.length / CHIPS_PER_PAGE); + const pager = this._row(root); + this._button(pager, '<', { + fontSize: 15, + height: 30, + onClick: () => { + this._chipPage = (this._chipPage + pageCount - 1) % pageCount; + this._renderChipPage(); + }, + }); + this._pageText = new UIText('', { + fontSize: 14, + color: MUTED, + textAlign: 'center', + flexGrow: 1, + }); + pager.add(this._pageText); + this._button(pager, '>', { + fontSize: 15, + height: 30, + onClick: () => { + this._chipPage = (this._chipPage + 1) % pageCount; + this._renderChipPage(); + }, + }); + + const expressionActions = this._row(root); + this._button(expressionActions, 'Random blend', { + accent: true, + onClick: () => { + this.scene.sampleRandomExpression(0.9); + this.scene._emitStatus('random expression blend'); + }, + }); + this._button(expressionActions, 'Neutral', { + onClick: () => { + this.model.resetExpression(); + this.scene.onModelChanged?.(); + this.scene._emitStatus('neutral expression'); + }, + }); + + this._statusText = new UIText(' ', { + fontSize: 14, + color: ACCENT, + textAlign: 'center', + width: '100%', + }); + root.add(this._statusText); + } + + _buildMotionCard() { + const card = this._card('GNMMotion', 0.52, 0.46, 0.62, 1.52, -0.46, -0.6); + const root = this._surface(card); + this._header(root, 'animation', 'Motion'); + + const scene = this.scene; + const specs = [ + [ + 'Eyes follow', + () => scene.eyesFollowCamera, + (v) => (scene.eyesFollowCamera = v), + ], + [ + 'Head follow', + () => scene.headFollowsCamera, + (v) => (scene.headFollowsCamera = v), + ], + ['Tour', () => !!scene.tour, (v) => scene.setExpressionTour(v)], + ['Morph', () => !!scene.morph, (v) => scene.setIdentityMorph(v)], + ['Sway', () => scene.idleSway, (v) => (scene.idleSway = v)], + ['Turntable', () => scene.turntable, (v) => (scene.turntable = v)], + ]; + for (let r = 0; r < specs.length; r += 2) { + const row = this._row(root); + for (const [label, get, set] of specs.slice(r, r + 2)) { + const button = this._button(row, label, { + fontSize: 15, + onClick: () => set(!get()), + }); + this._toggles.push({button, get}); + } + } + + const actions = this._row(root); + this._button(actions, 'Reset pose', { + onClick: () => { + this.model.resetPose(); + scene._smoothedRotations.fill(0); + scene.onModelChanged?.(); + }, + }); + this._button(actions, 'Neutral all', { + onClick: () => scene.resetToNeutral(), + }); + } + + _buildViewCard() { + const card = this._card('GNMView', 0.52, 0.4, 0.64, 1.08, -0.46, -0.6); + const root = this._surface(card); + this._header(root, 'visibility', 'View'); + + const scene = this.scene; + const modeRow = this._row(root, {gap: 8}); + for (const [mode, label] of [ + ['studio', 'Studio'], + ['clay', 'Clay'], + ['normals', 'Normals'], + ['regions', 'Regions'], + ]) { + const button = this._button(modeRow, label, { + fontSize: 13, + height: 36, + onClick: () => scene.setMaterialMode(mode), + }); + this._modeButtons.push({button, mode}); + } + + const overlaySpecs = [ + [ + 'Wireframe', + () => scene.wireframe.visible, + (v) => scene.setWireframeVisible(v), + ], + [ + 'Landmarks', + () => scene.landmarkMesh.visible, + (v) => scene.setLandmarksVisible(v), + ], + [ + 'Skeleton', + () => scene.skeletonGroup.visible, + (v) => scene.setSkeletonVisible(v), + ], + [ + 'Anatomy', + () => !scene.visibleComponents[0], + (v) => scene.setComponentVisible(0, !v), + ], + ]; + for (let r = 0; r < overlaySpecs.length; r += 2) { + const row = this._row(root); + for (const [label, get, set] of overlaySpecs.slice(r, r + 2)) { + const button = this._button(row, label, { + fontSize: 15, + onClick: () => set(!get()), + }); + this._toggles.push({button, get}); + } + } + } + + // -------------------------------------------------------------- behavior -- + + _pickGender(index) { + this._genderWeights = + index < 0 ? [1, 1] : [index === 0 ? 1 : 0, index === 1 ? 1 : 0]; + this._highlightRecipe(); + this._sampleIdentity(); + } + + _pickEthnicity(index) { + this._ethnicityWeights = + index < 0 ? [1, 1, 1, 1] : [0, 1, 2, 3].map((i) => (i === index ? 1 : 0)); + this._highlightRecipe(); + this._sampleIdentity(); + } + + _sampleIdentity() { + this.scene.sampleIdentity(this._genderWeights, this._ethnicityWeights, 0.9); + this.scene._emitStatus('sampled identity'); + } + + _highlightRecipe() { + const [female, male] = this._genderWeights; + const genderActive = [ + female === 1 && male === 0, + male === 1 && female === 0, + female === male, + ]; + this._recipeButtons.gender.forEach((button, i) => + button.setActive(genderActive[i]) + ); + const mix = this._ethnicityWeights.every((w) => w === 1); + this._recipeButtons.ethnicity.forEach((button, i) => { + const active = i === 4 ? mix : !mix && this._ethnicityWeights[i] === 1; + button.setActive(active); + }); + } + + _renderChipPage() { + const classes = this.samplers.expressionClasses; + const pageCount = Math.ceil(classes.length / CHIPS_PER_PAGE); + this._chips.forEach((chip, i) => { + const classIndex = this._chipPage * CHIPS_PER_PAGE + i; + chip.classIndex = classIndex < classes.length ? classIndex : -1; + chip.setLabel( + chip.classIndex >= 0 ? prettify(classes[chip.classIndex]) : '' + ); + }); + this._pageText?.setText(`${this._chipPage + 1} / ${pageCount}`); + } + + /** Reflects scene state into toggle fills and mode highlights. */ + update() { + for (const toggle of this._toggles) { + const on = !!toggle.get(); + if (this._lastStates.get(toggle) !== on) { + this._lastStates.set(toggle, on); + toggle.button.setActive(on); + } + } + const mode = this.scene.materialMode; + if (this._lastStates.get('mode') !== mode) { + this._lastStates.set('mode', mode); + for (const entry of this._modeButtons) { + entry.button.setActive(entry.mode === mode); + } + } + } +} diff --git a/gnm/shape/demos/web/README.md b/gnm/shape/demos/web/README.md new file mode 100644 index 00000000..6c47d3c3 --- /dev/null +++ b/gnm/shape/demos/web/README.md @@ -0,0 +1,36 @@ +# GNM Web Demo + +[![GNM Head Explorer Preview](teaser/teaser.webm)](https://xrblocks.github.io/demos/gnm/) + +**Live Demo:** [https://xrblocks.github.io/demos/gnm/](https://xrblocks.github.io/demos/gnm/) + +This is a standalone web demonstration of the [GNM](https://github.com/google/gnm) (Generative aNthropometric Model) running purely in the Chrome browser +across desktop, mobile, and [Android XR](https://android.com/xr) devices. + +The demo runs using [XR Blocks](https://github.com/google/xrblocks), loading it dynamically via CDN, which provides the 3D scene, rendering, and spatial UI. You can explore more interactive XR examples and the full SDK in the [XR Blocks repository](https://github.com/google/xrblocks). + +## Running the Demo + +Because this demo uses ES modules, you must serve it over HTTP (opening `index.html` directly from your file system via `file://` will not work). + +You can use any local web server. For example, if you have Python installed, run this command in this directory: + +```bash +# Python 3 +python -m http.server 8000 +``` + +Then, open your browser and navigate to: +[http://localhost:8000/](http://localhost:8000/) + +## Model Assets + +By default, the demo fetches the required model weights (`gnm_head_web.bin` and `gnm_samplers_web.bin`) dynamically from a CDN. + +If you prefer to run the demo entirely offline, you can download the pre-converted `.bin` files from the [assets-gnm repository](https://github.com/xrblocks/assets-gnm/tree/main). + +1. Create an `assets/` folder in this directory. +2. Place `gnm_head_web.bin` and `gnm_samplers_web.bin` inside `assets/`. +3. Open `main.js` and set `const USE_LOCAL_ASSETS = true;`, or append `?localAssets=1` to your URL. + +Alternatively, you can generate the `.bin` files yourself from the main GNM repository using the script located in `tools/export_gnm_web.py`. diff --git a/gnm/shape/demos/web/SemanticSampler.js b/gnm/shape/demos/web/SemanticSampler.js new file mode 100644 index 00000000..0393c9f5 --- /dev/null +++ b/gnm/shape/demos/web/SemanticSampler.js @@ -0,0 +1,181 @@ +/** + * SemanticSampler.js — JavaScript port of gnm/shape/semantic_sampler.py. + * + * The identity and expression samplers are conditional-VAE decoders: a small + * MLP mapping [latent z, one-hot condition] to a GNM parameter vector. The + * exported weights (tools/export_gnm_web.py) run here as plain typed-array + * matrix products, enabling live semantic sampling in the browser: + * + * identity: z(64) + [gender(2), ethnicity(4)] -> 253 identity params + * expression: z(64) + [expression class(20)] -> 383 expression params + * + * Blending mirrors the Python reference: expressions blend per-class latents + * and one-hots; identities share one latent with blended condition one-hots. + */ + +import {fetchWithProgress, parseContainer} from './GNMModel.js'; + +/** Deterministic 32-bit PRNG (mulberry32) so results are reproducible. */ +export function createRng(seed) { + let state = seed >>> 0; + return function () { + state = (state + 0x6d2b79f5) >>> 0; + let t = state; + t = Math.imul(t ^ (t >>> 15), t | 1); + t ^= t + Math.imul(t ^ (t >>> 7), t | 61); + return ((t ^ (t >>> 14)) >>> 0) / 4294967296; + }; +} + +/** Standard normal via Box–Muller. */ +function gaussian(rng) { + let u = 0; + while (u === 0) u = rng(); + const v = rng(); + return Math.sqrt(-2 * Math.log(u)) * Math.cos(2 * Math.PI * v); +} + +class MLPDecoder { + /** @param layers Array of {weights, bias, activation, inputDim, outputDim} */ + constructor(layers) { + this.layers = layers; + this.inputDim = layers[0].inputDim; + this.outputDim = layers[layers.length - 1].outputDim; + let maxDim = this.inputDim; + for (const layer of layers) maxDim = Math.max(maxDim, layer.outputDim); + this._bufferA = new Float32Array(maxDim); + this._bufferB = new Float32Array(maxDim); + } + + /** input: Float32Array(inputDim) -> Float32Array(outputDim) (fresh copy). */ + forward(input) { + let x = this._bufferA; + let y = this._bufferB; + x.set(input); + let currentDim = this.inputDim; + for (const layer of this.layers) { + const {weights, bias, activation, outputDim} = layer; + for (let o = 0; o < outputDim; ++o) { + let acc = bias[o]; + for (let i = 0; i < currentDim; ++i) { + acc += x[i] * weights[i * outputDim + o]; + } + y[o] = activation === 'relu' && acc < 0 ? 0 : acc; + } + [x, y] = [y, x]; + currentDim = outputDim; + } + return x.slice(0, currentDim); + } +} + +export class GNMSamplers { + constructor(meta, sections) { + this.identityMeta = meta.identity; + this.expressionMeta = meta.expression; + this.identityDecoder = new MLPDecoder( + meta.identity.layers.map((l) => ({ + ...l, + weights: sections[l.weights], + bias: sections[l.bias], + })) + ); + this.expressionDecoder = new MLPDecoder( + meta.expression.layers.map((l) => ({ + ...l, + weights: sections[l.weights], + bias: sections[l.bias], + })) + ); + this.genders = meta.identity.genders; + this.ethnicities = meta.identity.ethnicities; + this.expressionClasses = meta.expression.labels; + this._rng = createRng(20260717); + } + + static async load(url, onProgress) { + const buffer = await fetchWithProgress(url, onProgress); + const {meta, sections} = parseContainer(buffer); + return new GNMSamplers(meta, sections); + } + + /** Reseeds the internal RNG (useful for reproducible demos). */ + seed(value) { + this._rng = createRng(value); + } + + _sampleLatent(dim, sigma) { + const z = new Float32Array(dim); + for (let i = 0; i < dim; ++i) z[i] = gaussian(this._rng) * sigma; + return z; + } + + /** + * Samples an identity vector. + * genderWeights / ethnicityWeights: arrays of non-negative weights (one per + * class, normalized internally); pass a one-hot for a pure class. + * sigma scales latent variation (0 = class mean). + */ + sampleIdentity(genderWeights, ethnicityWeights, sigma = 1) { + const {latentDim} = this.identityMeta; + const input = new Float32Array(this.identityDecoder.inputDim); + input.set(this._sampleLatent(latentDim, sigma), 0); + normalizeInto(input, latentDim, genderWeights); + normalizeInto(input, latentDim + genderWeights.length, ethnicityWeights); + return this.identityDecoder.forward(input); + } + + /** + * Samples an expression vector for one class index, or blends several: + * pass a Map/object of classIndex -> weight. Each class contributes its own + * latent sample, matching ExpressionSampler.blend_expressions. + */ + sampleExpression(classWeights, sigma = 1) { + const {latentDim, conditionDim} = this.expressionMeta; + const entries = + typeof classWeights === 'number' + ? [[classWeights, 1]] + : Object.entries(classWeights).map(([k, w]) => [Number(k), w]); + let total = 0; + for (const [, w] of entries) total += w; + if (!(total > 0)) total = 1; + + const input = new Float32Array(this.expressionDecoder.inputDim); + for (const [classIndex, weight] of entries) { + const w = weight / total; + if (w === 0) continue; + const z = this._sampleLatent(latentDim, sigma); + for (let i = 0; i < latentDim; ++i) input[i] += z[i] * w; + input[latentDim + classIndex] += w; + } + return this.expressionDecoder.forward(input); + } + + /** Random blended identity, mirroring IdentitySampler.randomize_identities. */ + randomIdentity(sigma = 1) { + const genderWeights = this.genders.map(() => this._rng()); + const ethnicityWeights = this.ethnicities.map(() => this._rng()); + return this.sampleIdentity(genderWeights, ethnicityWeights, sigma); + } + + /** Random 2–3 class expression blend, mirroring randomize_expressions. */ + randomExpression(sigma = 1, maxClasses = 3) { + const count = 2 + Math.floor(this._rng() * (maxClasses - 1)); + const chosen = new Set(); + while (chosen.size < count) { + chosen.add(Math.floor(this._rng() * this.expressionClasses.length)); + } + const weights = {}; + for (const c of chosen) weights[c] = this._rng(); + return this.sampleExpression(weights, sigma); + } +} + +function normalizeInto(target, offset, weights) { + let total = 0; + for (const w of weights) total += w; + if (!(total > 0)) total = 1; + for (let i = 0; i < weights.length; ++i) { + target[offset + i] = weights[i] / total; + } +} diff --git a/gnm/shape/demos/web/demo.css b/gnm/shape/demos/web/demo.css new file mode 100644 index 00000000..315ba759 --- /dev/null +++ b/gnm/shape/demos/web/demo.css @@ -0,0 +1,236 @@ +html, +body { + height: 100%; + margin: 0; + padding: 0; + overflow: hidden; /* Prevents scroll bars if the image overflows slightly */ +} + +body { + background-size: cover; + background-position: center; + background-repeat: no-repeat; + color: #fff; + font-family: Monospace; + font-size: 13px; + line-height: 24px; + overscroll-behavior: none; +} + +.content { + position: relative; + color: #fff; + font-family: Monospace; + font-size: 13px; + line-height: 24px; + overscroll-behavior: none; +} + +a { + color: #ff0; + text-decoration: none; +} + +a:hover { + text-decoration: underline; +} + +button { + cursor: pointer; + text-transform: uppercase; +} + +#info { + position: absolute; + top: 0px; + width: 100%; + padding: 10px; + box-sizing: border-box; + text-align: center; + -moz-user-select: none; + -webkit-user-select: none; + -ms-user-select: none; + user-select: none; + pointer-events: none; + z-index: 1; /* TODO Solve this in HTML */ +} + +a, +button, +input, +select { + pointer-events: auto; +} + +.lil-gui { + z-index: 2 !important; /* TODO Solve this in HTML */ +} + +@media all and (max-width: 640px) { + .lil-gui.root { + right: auto; + top: auto; + max-height: 50%; + max-width: 80%; + bottom: 0; + left: 0; + } +} + +#overlay { + position: absolute; + font-size: 16px; + z-index: 2; + top: 0; + left: 0; + width: 100%; + height: 100%; + display: flex; + align-items: center; + justify-content: center; + flex-direction: column; + background: rgba(0, 0, 0, 0.7); +} + +#overlay button { + background: transparent; + border: 0; + border: 1px solid rgb(255, 255, 255); + border-radius: 4px; + color: #ffffff; + padding: 12px 18px; + text-transform: uppercase; + cursor: pointer; +} + +#notSupported { + width: 50%; + margin: auto; + background-color: #f00; + margin-top: 20px; + padding: 10px; +} + +header { + position: fixed; + top: 0px; + left: 0px; + width: 100%; + padding: 0.8rem 1.6rem; + color: rgb(255, 255, 255); + mix-blend-mode: exclusion; + display: flex; + align-items: center; + justify-content: space-between; + z-index: 101; + pointer-events: none; +} + +.logo { + font-family: 'Google Sans Text', system-ui, sans-serif; + font-size: 1.8rem; + font-style: normal; + font-weight: 500; + letter-spacing: -0.018rem; + transform: translate(0px, 0.05rem); +} + +.logo-link { + display: flex; + align-items: center; + gap: 0.4rem; + pointer-events: all; + flex: 0.55 1 0%; +} + +.logo-text { + font-family: 'Google Sans Text', system-ui, sans-serif; + color: white; + font-size: 1.8rem; + font-style: normal; + font-weight: 500; + letter-spacing: -0.018rem; + transform: translate(0px, 0.05rem); +} + +.logo-icon { + color: white; + width: 1.6rem; + height: 1.6rem; + margin-left: 0.2rem; + margin-right: 0.2rem; +} + +.slogan { + flex: 0.25 1 0%; + font-family: 'Google Sans Mono', system-ui, sans-serif; + font-weight: 400; + font-size: 1rem; + line-height: 120%; + letter-spacing: 0.06rem; + display: block; +} + +#XRButtonWrapper { + display: flex; + flex-direction: column; + justify-content: center; + background-color: transparent; + color: white; + padding: 10px 20px; + border: none; + cursor: pointer; + font-size: 2rem; + border-radius: 1rem; + display: flex; + align-items: center; + position: absolute; + top: 50%; + left: 50%; + transform: translate(-50%, -50%); + width: 30rem; + height: 16rem; + gap: 1rem; +} + +.XRButton { + color: white; + background-color: #e74c3c; + border: 0; + flex-grow: 1; + font: 'normal sans-serif'; + font-size: 2rem; + width: 100%; + cursor: pointer; + border-radius: 3rem; +} + +.XRButton svg { + margin-right: 8px; /* Space between the icon and text */ +} + +.XRButton:hover { + background-color: #c0392b; /* Darken the background on hover */ +} + +#xrlogo { + display: inline-block; + width: 3rem; + height: 3rem; + margin-right: 0.8rem; + background-image: url('xrlogo.webp'); + background-size: contain; /* Ensures the image fits within the defined size */ + background-repeat: no-repeat; + vertical-align: middle; /* Aligns with the text */ +} + +.background-image { + position: fixed; + top: 0; + left: 0; + width: 100vw; + height: 100vh; + z-index: -1; /* Sends the background behind the content */ + background-size: cover; /* Keeps aspect ratio and covers the screen */ + background-position: center; +} diff --git a/gnm/shape/demos/web/gnm.css b/gnm/shape/demos/web/gnm.css new file mode 100644 index 00000000..c2f00240 --- /dev/null +++ b/gnm/shape/demos/web/gnm.css @@ -0,0 +1,341 @@ +/* GNM Head Explorer — control panel styling. */ + +#gnm-panel { + position: absolute; + top: 12px; + right: 12px; + width: 340px; + max-height: calc(100% - 24px); + display: flex; + flex-direction: column; + z-index: 5; + color: #e8ecf4; + color-scheme: dark; /* dark native widgets: select popups, sliders, checks */ + font-family: + 'Inter', + system-ui, + -apple-system, + sans-serif; + font-size: 12.5px; + line-height: 1.45; + background: rgba(13, 17, 26, 0.86); + backdrop-filter: blur(14px); + -webkit-backdrop-filter: blur(14px); + border: 1px solid rgba(255, 255, 255, 0.09); + border-radius: 14px; + box-shadow: 0 12px 40px rgba(0, 0, 0, 0.45); + overflow: hidden; + user-select: none; +} + +#gnm-panel.collapsed { + width: 230px; +} + +#gnm-panel.collapsed #gnm-tabs, +#gnm-panel.collapsed #gnm-pages, +#gnm-panel.collapsed #gnm-status, +#gnm-panel.collapsed .gnm-footer, +#gnm-panel.collapsed .gnm-header p { + display: none; +} + +#gnm-panel.collapsed .gnm-header { + padding: 8px 12px; +} + +#gnm-panel .gnm-header { + display: flex; + align-items: center; + justify-content: space-between; + padding: 12px 14px 8px; +} + +#gnm-panel .gnm-header h1 { + margin: 0; + font-size: 15px; + font-weight: 650; + letter-spacing: 0.02em; + color: #e8ecf4; +} + +#gnm-panel .gnm-header p { + margin: 1px 0 0; + font-size: 11px; + color: #93a0b8; +} + +#gnm-collapse { + width: 26px; + height: 26px; + border-radius: 8px; + border: 1px solid rgba(255, 255, 255, 0.14); + background: rgba(255, 255, 255, 0.06); + color: #e8ecf4; + font-size: 15px; + line-height: 1; + text-transform: none; +} + +#gnm-status { + min-height: 16px; + padding: 0 14px 6px; + font-size: 11px; + color: #4fe0ae; +} + +#gnm-tabs { + display: flex; + gap: 2px; + padding: 0 10px; + border-bottom: 1px solid rgba(255, 255, 255, 0.08); +} + +#gnm-tabs button { + flex: 1; + padding: 7px 2px; + font-size: 11px; + border: none; + border-bottom: 2px solid transparent; + background: none; + color: #93a0b8; + text-transform: none; +} + +#gnm-tabs button.active { + color: #ffffff; + border-bottom-color: #4f8ce0; +} + +#gnm-pages { + overflow-y: auto; + flex: 1; + scrollbar-width: thin; + scrollbar-color: #3a4356 transparent; +} + +.gnm-page { + display: none; + padding: 10px 14px; +} + +.gnm-page.active { + display: block; +} + +.gnm-page section { + margin-bottom: 14px; +} + +.gnm-page h2 { + margin: 0 0 6px; + font-size: 11px; + font-weight: 650; + text-transform: uppercase; + letter-spacing: 0.08em; + color: #8fa0bd; +} + +.gnm-btn-row { + display: flex; + flex-wrap: wrap; + gap: 6px; + margin: 6px 0; +} + +.gnm-btn { + padding: 6px 10px; + border-radius: 8px; + border: 1px solid rgba(255, 255, 255, 0.14); + background: rgba(79, 140, 224, 0.16); + color: #e8ecf4; + font-size: 11.5px; + text-transform: none; +} + +.gnm-btn:hover { + background: rgba(79, 140, 224, 0.34); +} + +.gnm-btn.active { + background: #4f8ce0; + border-color: #4f8ce0; + color: #fff; +} + +.gnm-btn.ghost { + background: none; + border-style: dashed; + color: #93a0b8; + width: 100%; + margin-top: 4px; +} + +.gnm-chips { + display: flex; + flex-wrap: wrap; + gap: 5px; +} + +.gnm-chip { + padding: 4px 9px; + border-radius: 999px; + border: 1px solid rgba(255, 255, 255, 0.16); + background: rgba(255, 255, 255, 0.05); + color: #cfd8e8; + font-size: 11px; + text-transform: none; +} + +.gnm-chip:hover { + background: rgba(79, 224, 174, 0.22); + border-color: rgba(79, 224, 174, 0.6); +} + +.gnm-slider { + display: grid; + grid-template-columns: 64px 1fr 38px; + align-items: center; + gap: 8px; + padding: 2px 0; +} + +.gnm-slider.wide { + grid-template-columns: 64px 1fr 38px; +} + +.gnm-slider span { + color: #aab6ca; + font-size: 11px; + overflow: hidden; + text-overflow: ellipsis; + white-space: nowrap; +} + +.gnm-slider output { + font-size: 10.5px; + color: #7f8ca3; + text-align: right; + font-variant-numeric: tabular-nums; +} + +.gnm-slider input[type='range'] { + width: 100%; + height: 4px; + accent-color: #4f8ce0; +} + +.gnm-slider input[type='range']:disabled { + opacity: 0.35; +} + +.gnm-toggle { + display: flex; + align-items: center; + gap: 8px; + padding: 3px 0; + cursor: pointer; +} + +.gnm-toggle input { + accent-color: #4f8ce0; +} + +.gnm-selects { + display: flex; + gap: 10px; + margin-bottom: 6px; +} + +.gnm-selects label { + display: flex; + flex-direction: column; + gap: 3px; + flex: 1; + font-size: 11px; + color: #93a0b8; +} + +.gnm-selects select { + background: rgba(255, 255, 255, 0.07); + color: #e8ecf4; + border: 1px solid rgba(255, 255, 255, 0.14); + border-radius: 7px; + padding: 5px 6px; + font-size: 12px; +} + +.gnm-selects select option { + background: #131826; + color: #e8ecf4; +} + +.gnm-hint { + font-size: 11px; + color: #7f8ca3; + font-style: italic; +} + +#gnm-panel .gnm-footer { + padding: 8px 14px 10px; + border-top: 1px solid rgba(255, 255, 255, 0.08); + font-size: 10.5px; + color: #7f8ca3; +} + +#gnm-panel .gnm-footer a { + color: #4fa3e0; +} + +/* Loading overlay */ +#gnm-loading { + position: absolute; + inset: 0; + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + gap: 14px; + z-index: 20; + background: radial-gradient(circle at 50% 40%, #141a26, #07090e); + color: #e8ecf4; + font-family: 'Inter', system-ui, sans-serif; +} + +#gnm-loading h1 { + margin: 0; + font-size: 22px; + font-weight: 650; +} + +#gnm-loading p { + margin: 0; + color: #93a0b8; + font-size: 13px; +} + +#gnm-loading .bar { + width: 260px; + height: 6px; + border-radius: 3px; + background: rgba(255, 255, 255, 0.1); + overflow: hidden; +} + +#gnm-loading .bar div { + height: 100%; + width: 0%; + border-radius: 3px; + background: linear-gradient(90deg, #4f8ce0, #4fe0ae); + transition: width 0.15s ease-out; +} + +@media (max-width: 720px) { + #gnm-panel { + width: min(92vw, 340px); + max-height: 55%; + top: auto; + bottom: 10px; + right: 4vw; + } +} diff --git a/gnm/shape/demos/web/index.html b/gnm/shape/demos/web/index.html new file mode 100644 index 00000000..89facdb0 --- /dev/null +++ b/gnm/shape/demos/web/index.html @@ -0,0 +1,55 @@ + + + + GNM Head Explorer | XR Blocks + + + + + + + + + + +
+

GNM Head Explorer

+
+

Preparing…

+
+ + + diff --git a/gnm/shape/demos/web/main.js b/gnm/shape/demos/web/main.js new file mode 100644 index 00000000..3f0e64e7 --- /dev/null +++ b/gnm/shape/demos/web/main.js @@ -0,0 +1,85 @@ +import 'xrblocks/addons/simulator/SimulatorAddons.js'; + +import * as uikit from '@pmndrs/uikit'; +import * as xb from 'xrblocks'; + +import {GNMControls} from './GNMControls.js'; +import {GNMHeadModel} from './GNMModel.js'; +import {GNMScene} from './GNMScene.js'; +import {GNMSamplers} from './SemanticSampler.js'; + +// The GNM model weights are hosted on a CDN (pinned to a commit) rather than +// checked into the repo, since the head model alone is ~35 MB. They are the +// web export of gnm/shape/data (see tools/export_gnm_web.py). +const CDN_ASSETS_BASE = + 'https://rawcdn.githack.com/xrblocks/assets-gnm/8480138a42ae746a2f7c9808a51ef23af7648653'; +// Local copies for offline development: generate them from a GNM checkout with +// python tools/export_gnm_web.py --gnm_root=/path/to/gnm --out_dir=./assets +// then load them with the toggle below. +const LOCAL_ASSETS_BASE = './assets'; + +// DEBUG TOGGLE — flip to true to load the model from local ./assets instead of +// the public CDN. Can also be overridden per-load without editing code via the +// URL query: ?localAssets=1 (local) or ?localAssets=0 (CDN). +const USE_LOCAL_ASSETS = false; + +const useLocalAssets = xb.getUrlParamBool('localAssets', USE_LOCAL_ASSETS); +const ASSETS_BASE = useLocalAssets ? LOCAL_ASSETS_BASE : CDN_ASSETS_BASE; +const HEAD_MODEL_URL = `${ASSETS_BASE}/gnm_head_web.bin`; +const SAMPLERS_URL = `${ASSETS_BASE}/gnm_samplers_web.bin`; +console.info( + `[GNM] loading model assets from ${useLocalAssets ? 'LOCAL' : 'CDN'}: ${ASSETS_BASE}` +); + +function setLoadingProgress(fraction, label) { + const bar = document.querySelector('#gnm-loading .bar div'); + const text = document.querySelector('#gnm-loading p'); + if (bar) bar.style.width = `${Math.round(fraction * 100)}%`; + if (label && text) text.textContent = label; +} + +async function start() { + try { + let modelProgress = 0; + let samplerProgress = 0; + const report = () => + setLoadingProgress( + modelProgress * 0.92 + samplerProgress * 0.08, + 'Downloading GNM model data…' + ); + const [model, samplers] = await Promise.all([ + GNMHeadModel.load(HEAD_MODEL_URL, (p) => { + modelProgress = p; + report(); + }), + GNMSamplers.load(SAMPLERS_URL, (p) => { + samplerProgress = p; + report(); + }), + ]); + setLoadingProgress(1, 'Starting XR Blocks…'); + + const options = new xb.Options(); + options.enableUI(); + options.uikit.enable(uikit); // registers the uikit renderer for uiblocks + options.enableReticles(); + options.setAppTitle('GNM Head Explorer'); + options.xrButton.startText = ' EXPLORE IN XR'; + options.xrButton.endText = ' EXIT XR'; + + const scene = new GNMScene(model, samplers); + xb.add(scene); + window.gnm = {model, samplers, scene}; + + const controls = new GNMControls(model, samplers, scene); + controls.attach(); + document.getElementById('gnm-loading')?.remove(); + + await xb.init(options); + } catch (error) { + setLoadingProgress(0, `Failed to load: ${error.message}`); + console.error(error); + } +} + +document.addEventListener('DOMContentLoaded', start); diff --git a/gnm/shape/demos/web/teaser/teaser.webm b/gnm/shape/demos/web/teaser/teaser.webm new file mode 100644 index 0000000000000000000000000000000000000000..88177c065bad315994589b94d4ff36a361be5f4f GIT binary patch literal 314094 zcmd42b9iOVw=TM3J006e#~s_YZQIt0ZFbUeI=0=hZQHh!+uyhM{+)9!{=fCC^*p2I zsCvg3@2ILd=UP=bqFV(yLZLtqp{Kv!TOhd59S~Y5FxcJH$W|!qZ#4u6ilrQ24g&aF zz(>1KWHVhlWZR>Z%Y(m3mYOM701sr_qyN@0RI03%D*{3A{;P_r(r5lpbzHVR=C2k{ 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za-=8+;s;Lb4>eKEnZZiIuV`%xnJRKb>~hSCE|q?#Hice+TBzyIJ(P?2SjuEoe10^z zR;t3Ph0L{rku2ZkINaedE)vm>IDc{bkjD?XT7pfFe}tm{@C67ZhbDJv_v{{5{dB+a ztbT}Ryq+{b$Y=E_UP}kxC^WXjIMq?ao7m+M=*$6=$qSL*oB%?PA%*rr&eYq}#y z)8k!_XVt}!h%iN2Iaw3QS%zf&OEtm5du>+|xWMF_u!kQ^AJvW0uGx-0*CmvJN}aR0 zCKI`KF^B~n$z967Y#u2LP#I&Hi%#joyu+DjoQ0rayv_E(XDNFBoq+H|ku|WGc8ARB5RzWH5Z|c!_&`mf;-d$U zy0bU46#`#UZK?9P(kqi~K@|rLePossLmM=ygB%lUp}MavS1`H-g{FLeov9aL*?KCE zW~kOT=5>5em?Hqp1(PCoZxqe0K9K+bSAU+A`Z{fIVnQyZ?sVJRz*9ex>> zg-^d?oYZLeW<|1^D+vm*;}E3Xlx)3|wJ= z13)Lxf7x-^Wqy^Q=>Px#000AKHvj+t01ReaD+|J&v`eitkN^Mx00nZ_H(5Y(#KVq8 zGLW&-g$$alZq@pm@S}%<3ZQ`e|Nfu>00000000o7hk^>U0Q~>{b)tj-&Hi8 0) + if has_pose_correctives: + correctives_q, correctives_scales = quantize_int8(correctives) + + # ---- Validate quantization error. ---------------------------------------- + rng = np.random.default_rng(0) + coeff_id = rng.normal(size=(16, identity_dim)).astype(np.float32) + coeff_ex = rng.normal(size=(16, expression_dim)).astype(np.float32) + exact = coeff_id @ identity_basis + coeff_ex @ expression_basis + approx = ((coeff_id * identity_scales) @ identity_q.astype(np.float32) + + (coeff_ex * expression_scales) @ expression_q.astype(np.float32)) + err = np.abs(exact - approx) + print(f'Bind-pose int8 error: max {err.max() * 1000:.4f} mm, ' + f'mean {err.mean() * 1000:.5f} mm') + + if has_pose_correctives: + pose_features = rng.uniform(-0.6, 0.6, size=(16, 9 * num_joints)).astype( + np.float32) + exact_pc = pose_features @ correctives + approx_pc = (pose_features * correctives_scales) @ correctives_q.astype( + np.float32) + err_pc = np.abs(exact_pc - approx_pc) + print(f'Pose-correctives int8 error: max {err_pc.max() * 1000:.4f} mm, ' + f'mean {err_pc.mean() * 1000:.5f} mm') + else: + print('Pose-correctives regressor is all zeros; skipping export.') + + # ---- Per-vertex classification maps. ------------------------------------- + groups = d['vertex_groups'] + group_names = [str(n) for n in d['vertex_group_names']] + + component_names = [str(n) for n in d['mesh_component_names']] + component_weights = group_weight_matrix(groups, group_names, component_names) + component_id = component_weights.argmax(axis=0).astype(np.uint8) + + material_id = np.zeros(num_vertices, dtype=np.uint8) + for material_index, material in enumerate(MATERIALS): + if material == 'skin': + continue + weights = group_weight_matrix(groups, group_names, [material])[0] + material_id[weights > 1e-4] = material_index + + # The sclera/iris/pupil labels live on the interior eye layer; the visible + # surface is the transparent cornea shell (eye_exteriors). Project the + # interior colors onto the shell so eyes render with sclera + iris. + template = d['template_vertex_positions'] + exterior = np.where( + group_weight_matrix(groups, group_names, ['eye_exteriors'])[0] > 1e-4 + )[0] + interior = np.where( + group_weight_matrix(groups, group_names, ['eye_interiors'])[0] > 1e-4 + )[0] + if len(exterior) and len(interior): + d2 = ((template[exterior][:, None, :] - + template[interior][None, :, :]) ** 2).sum(-1) + material_id[exterior] = material_id[interior[d2.argmin(axis=1)]] + + region_names = [n for n in group_names if n.endswith('_region')] + region_weights = group_weight_matrix(groups, group_names, region_names) + region_max = region_weights.max(axis=0) + region_id = region_weights.argmax(axis=0).astype(np.uint8) + region_id[region_max <= 1e-4] = 255 + + # ---- Landmarks. ----------------------------------------------------------- + landmark_rows = [] + with open(landmarks_path, 'r', encoding='utf-8') as f: + for line in f: + parts = line.split() + if len(parts) >= 6: + landmark_rows.append([float(x) for x in parts[:6]]) + landmarks = np.array(landmark_rows, dtype=np.float64) + landmark_indices = landmarks[:, 0::2].astype(np.uint16) + landmark_weights = landmarks[:, 1::2].astype(np.float32) + print(f'Landmarks: {landmark_indices.shape[0]}') + + # ---- Write the model container. ------------------------------------------ + writer = ContainerWriter() + writer.add('template', d['template_vertex_positions'].astype(np.float32)) + writer.add('triangles', d['triangles'].astype(np.uint16)) + writer.add('quads', d['quads'].astype(np.uint16)) + writer.add('template_joints', + d['template_joint_positions'].astype(np.float32)) + writer.add('joint_parents', d['joint_parent_indices'].astype(np.int32)) + writer.add('skinning_weights', d['skinning_weights'].astype(np.float32)) + writer.add('joint_identity_basis', + d['joint_identity_basis'].astype(np.float32)) + writer.add('identity_basis', identity_q) + writer.add('identity_scales', identity_scales) + writer.add('expression_basis', expression_q) + writer.add('expression_scales', expression_scales) + if has_pose_correctives: + writer.add('pose_correctives', correctives_q) + writer.add('pose_correctives_scales', correctives_scales) + writer.add('component_id', component_id) + writer.add('material_id', material_id) + writer.add('region_id', region_id) + writer.add('landmark_indices', landmark_indices) + writer.add('landmark_weights', landmark_weights) + + meta = { + 'model': 'GNM Head', + 'gnmVersion': str(d['version']), + 'variant': str(d['variant']), + 'numVertices': int(num_vertices), + 'numJoints': int(num_joints), + 'identityDim': int(identity_dim), + 'expressionDim': int(expression_dim), + 'identityNames': [str(n) for n in d['identity_names']], + 'expressionNames': [str(n) for n in d['expression_names']], + 'jointNames': [str(n) for n in d['joint_names']], + 'componentNames': component_names, + 'materialNames': MATERIALS, + 'regionNames': [re.sub('_region$', '', n) for n in region_names], + 'bboxMin': [float(x) for x in template.min(axis=0)], + 'bboxMax': [float(x) for x in template.max(axis=0)], + 'hasPoseCorrectives': has_pose_correctives, + } + writer.write(os.path.join(args.out_dir, 'gnm_head_web.bin'), meta) + + # ---- Semantic sampler decoders. ------------------------------------------ + sampler_writer = ContainerWriter() + sampler_meta = {} + specs = [ + ('identity', 'identity_decoder_model.h5', GENDERS + ETHNICITIES), + ('expression', 'expression_decoder_model.h5', EXPRESSION_CLASSES), + ] + for key, filename, labels in specs: + layers = load_keras_mlp(os.path.join(sampler_dir, filename)) + layer_meta = [] + for i, layer in enumerate(layers): + writer_key_w = f'{key}_w{i}' + writer_key_b = f'{key}_b{i}' + sampler_writer.add(writer_key_w, layer['kernel']) + sampler_writer.add(writer_key_b, layer['bias']) + layer_meta.append({ + 'weights': writer_key_w, + 'bias': writer_key_b, + 'activation': layer['activation'], + 'inputDim': int(layer['kernel'].shape[0]), + 'outputDim': int(layer['kernel'].shape[1]), + }) + condition_dim = len(labels) + latent_dim = layer_meta[0]['inputDim'] - condition_dim + sampler_meta[key] = { + 'latentDim': latent_dim, + 'conditionDim': condition_dim, + 'labels': labels, + 'layers': layer_meta, + } + # Smoke test: decode a zero latent with the first class. + x = np.zeros((1, layer_meta[0]['inputDim']), dtype=np.float32) + x[0, latent_dim] = 1.0 + out = run_mlp(layers, x) + print(f'{key} decoder: latent {latent_dim} + {condition_dim} classes -> ' + f'{out.shape[1]} params (zero-latent output range ' + f'[{out.min():.3f}, {out.max():.3f}])') + + sampler_meta['identity']['genders'] = GENDERS + sampler_meta['identity']['ethnicities'] = ETHNICITIES + sampler_writer.write( + os.path.join(args.out_dir, 'gnm_samplers_web.bin'), sampler_meta) + + +if __name__ == '__main__': + main() diff --git a/gnm/shape/demos/web/tools/reference_case.json b/gnm/shape/demos/web/tools/reference_case.json new file mode 100644 index 00000000..816268ec --- /dev/null +++ b/gnm/shape/demos/web/tools/reference_case.json @@ -0,0 +1,74 @@ +{ + "sampleVertexIndices": [ + 0, + 1234, + 5678, + 9000, + 17820 + ], + "sampleVertices": [ + [ + 0.07524014151191177, + 0.132701584213881, + 0.04278368914796994 + ], + [ + 0.07066148681726514, + 0.2763427407195387, + 0.1334917336734655 + ], + [ + 0.07264009026446368, + 0.21735470224169007, + 0.07959980053316922 + ], + [ + -0.03549145619356031, + 0.1885630748765137, + 0.05491466889200118 + ], + [ + 0.009579310257967339, + 0.28682860020996653, + 0.12624630734082742 + ] + ], + "meanAbs": 0.1284833692321981, + "jointsWorld": [ + [ + 0.009713157311082021, + 0.11783295185559228, + 0.023818299447652853 + ], + [ + 0.022748622893714755, + 0.18772338394274307, + 0.05506041872352304 + ], + [ + 0.0743935550256453, + 0.28198126237605065, + 0.11654204803710386 + ], + [ + 0.02219130736267548, + 0.28373561225958843, + 0.1328420499877698 + ] + ], + "landmark0": [ + -0.039455113326315926, + 0.2715785058492075, + 0.0954536817877415 + ], + "landmark33": [ + 0.05599806164359592, + 0.2334553728585174, + 0.15864090428228947 + ], + "landmark67": [ + 0.034890903048064414, + 0.20489460443296154, + 0.15772462971053758 + ] +} \ No newline at end of file From c7e9b046119fcd821daf1b8c378e3561c9b7ede3 Mon Sep 17 00:00:00 2001 From: Ruofei Du Date: Sat, 18 Jul 2026 19:54:30 -0700 Subject: [PATCH 2/2] fix(lint): remove unused variable 'i' in export_gnm_web.py --- gnm/shape/demos/web/tools/export_gnm_web.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gnm/shape/demos/web/tools/export_gnm_web.py b/gnm/shape/demos/web/tools/export_gnm_web.py index fded05a7..e285fa06 100644 --- a/gnm/shape/demos/web/tools/export_gnm_web.py +++ b/gnm/shape/demos/web/tools/export_gnm_web.py @@ -127,7 +127,7 @@ def load_keras_mlp(path): def run_mlp(layers, x): - for i, layer in enumerate(layers): + for layer in layers: x = x @ layer['kernel'] + layer['bias'] if layer['activation'] == 'relu': x = np.maximum(x, 0.0)