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Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
March 26, 2024, 4:48 a.m. | Zhikai Chen, Fuchen Long, Zhaofan Qiu, Ting Yao, Wengang Zhou, Jiebo Luo, Tao Mei
cs.CV updates on arXiv.org arxiv.org
Abstract: Diffusion models are just at a tipping point for image super-resolution task. Nevertheless, it is not trivial to capitalize on diffusion models for video super-resolution which necessitates not only the preservation of visual appearance from low-resolution to high-resolution videos, but also the temporal consistency across video frames. In this paper, we propose a novel approach, pursuing Spatial Adaptation and Temporal Coherence (SATeCo), for video super-resolution. SATeCo pivots on learning spatial-temporal guidance from low-resolution videos to …
abstract arxiv cs.cv cs.mm diffusion diffusion models image low preservation resolution spatial temporal tipping type video videos visual
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