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DragAPart: Learning a Part-Level Motion Prior for Articulated Objects
March 25, 2024, 4:45 a.m. | Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi
cs.CV updates on arXiv.org arxiv.org
Abstract: We introduce DragAPart, a method that, given an image and a set of drags as input, can generate a new image of the same object in a new state, compatible with the action of the drags. Differently from prior works that focused on repositioning objects, DragAPart predicts part-level interactions, such as opening and closing a drawer. We study this problem as a proxy for learning a generalist motion model, not restricted to a specific kinematic …
abstract arxiv cs.cv generate image object objects part prior set state type
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