Feb. 13, 2024, 5:48 a.m. | Hongsuk Choi Nikhil Chavan-Dafle Jiacheng Yuan Volkan Isler Hyunsoo Park

cs.CV updates on arXiv.org arxiv.org

This paper presents a method to learn hand-object interaction prior for reconstructing a 3D hand-object scene from a single RGB image. The inference as well as training-data generation for 3D hand-object scene reconstruction is challenging due to the depth ambiguity of a single image and occlusions by the hand and object. We turn this challenge into an opportunity by utilizing the hand shape to constrain the possible relative configuration of the hand and object geometry. We design a generalizable implicit …

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