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CasSR: Activating Image Power for Real-World Image Super-Resolution
March 19, 2024, 4:49 a.m. | Haolan Chen, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Wei Hu
cs.CV updates on arXiv.org arxiv.org
Abstract: The objective of image super-resolution is to generate clean and high-resolution images from degraded versions. Recent advancements in diffusion modeling have led to the emergence of various image super-resolution techniques that leverage pretrained text-to-image (T2I) models. Nevertheless, due to the prevalent severe degradation in low-resolution images and the inherent characteristics of diffusion models, achieving high-fidelity image restoration remains challenging. Existing methods often exhibit issues including semantic loss, artifacts, and the introduction of spurious content not …
abstract arxiv cs.cv diffusion diffusion modeling emergence generate image images low modeling power text text-to-image type versions world
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