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ObjectMover | Generative Object Motion Modeling Based on Video Priors
ObjectMover is a research published in CVPR 2025 and jointly proposed by the University of Hong Kong and Adobe Research. Its core goal is to address the complex challenges of object movement in images, including illumination coordination, viewpoint adjustment, occluded region filling, shadow and reflection synchronization, etc., while maintaining object identity consistency. Traditional methods are difficult to deal with these comprehensive problems, so the research team proposes to leverage the a priori knowledge of video generation models to achieve realism generation of object motion through sequence-to-sequence modeling. CORE INNOVATION POINTS Video a priori migration treats object movement as ...
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