Research map / Image generation / Fast diffusion sampling
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| run additional DSB iterations beyond the first (which equals standard SGM) (ablation) | DSB · CelebA 32x32 generation, FID | FID | Helped |
| run multiple DSB iterations with short horizon T=0.2 (ablation) | DSB · 2D toy data | sample quality (qualitative) | Helped |
| increase network size from 30k to 240k parameters (ablation) | DSB · Gaussian SB, d=50 | recovery of variance and covariance | Helped |
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