Study examines how injected noise shapes diffusion model generalization
A new arXiv paper reports that diffusion models trained on different datasets can generate highly similar samples from the same noise input, suggesting they learn shared structure rather than dataset-specific patterns.
Read the full story at arXiv cs.LG ↗
Timeline · 1 report
- 2026-11-05 05:00 · arXiv cs.LG
The role of injected noise in diffusion model generalization