2024
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
ICLR 2024poster
Diffusion models have impressive image generation capability, but low-quality generations still exist, and their identification remains challenging due to the lack of a proper sample-wise metric. To address this, we propose BayesDiff, a pixel-wise uncertainty estimator for generations from diffusion…