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Please use the following commands to reproduce the trainings for N3DV and Google-Immersive

N3DV (DyNeRF)

All the runs for N3DV use the same settings, but we include them each for completeness

coffee_martini

python train.py --config configs/dynerf.yaml --rot_gate_params none --sc_gate_params none --log_images --log_ply --use_xyz_legacy -s data/dynerf/coffee_martini -m ./output/trained_n3dv_coffee_martini ; python metrics_video.py -m ./output/trained_n3dv_coffee_martini ;

cook_spinach

python train.py --config configs/dynerf.yaml --rot_gate_params none --sc_gate_params none --log_images --log_ply --use_xyz_legacy -s data/dynerf/cook_spinach -m ./output/trained_n3dv_cook_spinach --use_wandb --wandb_run_name trained_n3dv_cook_spinach ; python metrics_video.py -m ./output/trained_n3dv_cook_spinach;

cut_roasted_beef

python train.py --config configs/dynerf.yaml --rot_gate_params none --sc_gate_params none --log_images --log_ply --use_xyz_legacy -s data/dynerf/cut_roasted_beef -m ./output/trained_n3dv_cut_roasted_beef --use_wandb --wandb_run_name trained_n3dv_cut_roasted_beef ; python metrics_video.py -m ./output/trained_n3dv_cut_roasted_beef;

sear_steak

python train.py --config configs/dynerf.yaml --rot_gate_params none --sc_gate_params none --log_images --log_ply --use_xyz_legacy -s data/dynerf/sear_steak -m ./output/trained_n3dv_sear_steak --use_wandb --wandb_run_name trained_n3dv_sear_steak; python metrics_video.py -m ./output/trained_n3dv_sear_steak;

flame_steak

python train.py --config configs/dynerf.yaml --rot_gate_params none --sc_gate_params none --log_images --log_ply --use_xyz_legacy -s data/dynerf/flame_steak -m ./output/trained_n3dv_flame_steak --use_wandb --wandb_run_name trained_n3dv_flame_steak; python metrics_video.py -m ./output/trained_n3dv_flame_steak;

flame_salmon_1

python train.py --config configs/dynerf.yaml --rot_gate_params none --sc_gate_params none --log_images --log_ply --use_xyz_legacy -s data/dynerf/flame_salmon_1 -m ./output/trained_n3dv_flame_salmon_1 --use_wandb --wandb_run_name trained_n3dv_flame_salmon_1; python metrics_video.py -m ./output/trained_n3dv_flame_salmon_1;

Google Immersive

cave

python train.py --config configs/immersive_cave.yaml --rot_gate_params none --sc_gate_params none --log_images --log_ply --use_xyz_legacy -s data/immersive/cave -m ./output/trained_immersive_cave ; python metrics_video.py -m ./output/trained_immersive_cave ;

exhibit

python train.py --config configs/immersive_exhibit.yaml --rot_gate_params none --sc_gate_params none --log_images --log_ply --use_xyz_legacy -s data/immersive/exhibit -m ./output/trained_immersive_exhibit --use_wandb --wandb_run_name trained_immersive_exhibit ; python metrics_video.py -m ./output/trained_immersive_exhibit;

face1

python train.py --config configs/immersive_face1.yaml --rot_gate_params none --sc_gate_params none --log_images --log_ply --use_xyz_legacy -s data/immersive/face1 -m ./output/trained_immersive_face1 --use_wandb --wandb_run_name trained_immersive_face1 ; python metrics_video.py -m ./output/trained_immersive_face1;

face2

python train.py --config configs/immersive_face2.yaml --rot_gate_params none --sc_gate_params none --log_images --log_ply --use_xyz_legacy -s data/immersive/face2 -m ./output/trained_immersive_face2 --use_wandb --wandb_run_name trained_immersive_face2; python metrics_video.py -m ./output/trained_immersive_face2;

flames

python train.py --config configs/immersive_flames.yaml --rot_gate_params none --sc_gate_params none --log_images --log_ply --use_xyz_legacy -s data/immersive/flames -m ./output/trained_immersive_flames --use_wandb --wandb_run_name trained_immersive_flames; python metrics_video.py -m ./output/trained_immersive_flames;

truck

python train.py --config configs/immersive_truck.yaml --rot_gate_params none --sc_gate_params none --log_images --log_ply --use_xyz_legacy -s data/immersive/truck -m ./output/trained_immersive_truck --use_wandb --wandb_run_name trained_immersive_truck; python metrics_video.py -m ./output/trained_immersive_truck;

welder

python train.py --config configs/immersive_welder.yaml --rot_gate_params none --sc_gate_params none --log_images --log_ply --use_xyz_legacy -s data/immersive/welder -m ./output/trained_immersive_welder --use_wandb --wandb_run_name trained_immersive_welder; python metrics_video.py -m ./output/trained_immersive_welder;