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BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution
March 18, 2024, 4:45 a.m. | Feng Li, Yixuan Wu, Zichao Liang, Runmin Cong, Huihui Bai, Yao Zhao, Meng Wang
cs.CV updates on arXiv.org arxiv.org
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
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