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

arXiv:2403.10211v1 Announce Type: new
Abstract: Diffusion models (DM) have achieved remarkable promise in image super-resolution (SR). However, most of them are tailored to solving non-blind inverse problems with fixed known degradation settings, limiting their adaptability to real-world applications that involve complex unknown degradations. In this work, we propose BlindDiff, a DM-based blind SR method to tackle the blind degradation settings in SISR. BlindDiff seamlessly integrates the MAP-based optimization into DMs, which constructs a joint distribution of the low-resolution (LR) observation, …

arxiv blind cs.cv diffusion diffusion models image modelling type