arXiv cs.CV
· Papers
Improving Diffusion Generative Models via Truncated Karhunen–Lo`eve Expansion
arXiv:2503.17657v3 Announce Type: replace Abstract: Pretrained diffusion models exhibit a well-known training-sampling mismatch, often attributed to exposure bias and related distribution-shift effects. We provide a quantitative interpretation of this phenomenon through the notion of an effective noise level: empirical