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CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility
March 19, 2024, 4:50 a.m. | Bojia Zi, Shihao Zhao, Xianbiao Qi, Jianan Wang, Yukai Shi, Qianyu Chen, Bin Liang, Kam-Fai Wong, Lei Zhang
cs.CV updates on arXiv.org arxiv.org
Abstract: Recent advancements in video generation have been remarkable, yet many existing methods struggle with issues of consistency and poor text-video alignment. Moreover, the field lacks effective techniques for text-guided video inpainting, a stark contrast to the well-explored domain of text-guided image inpainting. To this end, this paper proposes a novel text-guided video inpainting model that achieves better consistency, controllability and compatibility. Specifically, we introduce a simple but efficient motion capture module to preserve motion consistency, …
abstract alignment arxiv contrast cs.cv domain image inpainting struggle text type video video generation
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