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Toy example is an important toys for illustrating intuitions of algorithms in generative modeling. However toy example itself might contains inductive bias by researchers.
Why is this technically valuable?
There's no novel methods in here, only some guidance and training tricks in diffusion based models, in the 2d toy setting, but the introduced toy example itself is interesting and might reflect something in the real image-based generation.
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Blog title
What Makes a Good Toy Example for Diffusion Models?
Canonical URL
https://diffusiontoy.github.io/
Are you the author?
Yes, I wrote this post
Author / Lab / Organization
Liangyu Yuan, Yufei Huang
Source name
No response
Suggested BlogrXiv category
Visual Generation
Suggested tags
Diffusion model, Toy example.
Short summary
Toy example is an important toys for illustrating intuitions of algorithms in generative modeling. However toy example itself might contains inductive bias by researchers.
Why is this technically valuable?
There's no novel methods in here, only some guidance and training tricks in diffusion based models, in the 2d toy setting, but the introduced toy example itself is interesting and might reflect something in the real image-based generation.
Related paper / code, optional
https://arxiv.org/abs/2603.20584
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