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HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation
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2026-02-19 01:36:14
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HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation Zhenzhi Wang 1 , Yixuan Li 1 , Yanhong Zeng 2 , Youqing Fang 2 , Yuwei Guo 1 , Wenran Liu 2 , Jing Tan 1 , Kai Chen 2 , Tianfan Xue 1,2 , Bo Dai 2 , Dahua Lin 1,2 1 CUHK, 2 Shanghai AI Lab NeurIPS D&B Track 2024 arXiv Code Data By training a simple baseline combined by Animate Anyone and CameraCtrl on our HumanVid dataset without any tricks, we are able to generate movie-level videos with both character pose and camera movements. (Top left): input image; (Top right): human pose condition; (Bottom left): our result; (Bottom right): groundtruth video. The camera condition is not visualized in this video. Videos may take a few seconds to load. Abstract Human image animation involves generating videos from a character photo, allowing user control and unlock...
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