Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

arXiv:2311.17117v3 Announce Type: replace
Abstract: Character Animation aims to generating character videos from still images through driving signals. Currently, diffusion models have become the mainstream in visual generation research, owing to their robust generative capabilities. However, challenges persist in the realm of image-to-video, especially in character animation, where temporally maintaining consistency with detailed information from character remains a formidable problem. In this paper, we leverage the power of diffusion models and propose a novel framework tailored for character animation. To …

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