BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution

1 code implementation • 15 Mar 2024 • Feng Li, Yixuan Wu, Zichao Liang, Runmin Cong, Huihui Bai, Yao Zhao, Meng Wang

BlindDiff seamlessly integrates the MAP-based optimization into DMs, which constructs a joint distribution of the low-resolution (LR) observation, high-resolution (HR) data, and degradation kernels for the data and kernel priors, and solves the blind SR problem by unfolding MAP approach along with the reverse process.

Image Restoration Image Super-Resolution