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FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation
March 20, 2024, 4:46 a.m. | Shuai Yang, Yifan Zhou, Ziwei Liu, Chen Change Loy
cs.CV updates on arXiv.org arxiv.org
Abstract: The remarkable efficacy of text-to-image diffusion models has motivated extensive exploration of their potential application in video domains. Zero-shot methods seek to extend image diffusion models to videos without necessitating model training. Recent methods mainly focus on incorporating inter-frame correspondence into attention mechanisms. However, the soft constraint imposed on determining where to attend to valid features can sometimes be insufficient, resulting in temporal inconsistency. In this paper, we introduce FRESCO, intra-frame correspondence alongside inter-frame correspondence …
abstract application arxiv attention attention mechanisms cs.cv diffusion diffusion models domains exploration focus however image image diffusion spatial temporal text text-to-image training translation type video videos zero-shot
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