Shypd.aiThe largest open index of AI toolsMOFA-Video is a Content & Design tool that enables controllable image animation. It uses generative motion field adaptions in a frozen image-to-video diffusion model, supporting various control signals like trajectories and keypoints.
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MOFA-Video is an open-source project presented at ECCV 2024, designed for controllable image animation. It leverages generative motion field adaptions within a frozen image-to-video diffusion model to animate still images. The tool supports diverse control signals, including trajectories, keypoint sequences, and hybrid combinations, allowing for precise manipulation of motion. It features a sparse-to-dense motion generation approach and flow-based motion adaptation. MOFA-Video provides training scripts for trajectory-based and keypoint-based facial image animation, along with Gradio inference code and checkpoints for hybrid controls. This makes it a powerful resource for researchers and developers interested in advanced video generation techniques.
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