Ren Wang

Uncertainty-Guided Latent Diffusion Models for Faithful Super Resolution

UGDiff, a novel diffusion guidance paradigm designed to further improve the perception-distortion balance, is introduced, which first estimates the reconstruction uncertainty of the latent features corresponding to a high-fidelity image and guides the diffusion process to selectively restore high-frequency details in high-uncertainty regions, while preserving fidelity elsewhere.