April 23, 2024, 4:46 a.m. | Bingwen Zhu, Fanyi Wang, Tianyi Lu, Peng Liu, Jingwen Su, Jinxiu Liu, Yanhao Zhang, Zuxuan Wu, Yu-Gang Jiang, Guo-Jun Qi

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.13680v1 Announce Type: new
Abstract: Image-to-video(I2V) generation aims to create a video sequence from a single image, which requires high temporal coherence and visual fidelity with the source image.However, existing approaches suffer from character appearance inconsistency and poor preservation of fine details. Moreover, they require a large amount of video data for training, which can be computationally demanding.To address these limitations,we propose PoseAnimate, a novel zero-shot I2V framework for character animation.PoseAnimate contains three key components: 1) Pose-Aware Control Module (PACM) …

abstract animation arxiv create cs.ai cs.cv data fidelity however image image-to-video preservation temporal type video video data visual zero-shot

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