Junhui Hou
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2026
From Extrinsic to Intrinsic: Geodesic-Guided Representation Learning for 3D Geometric Data
The paper introduces PRISM, a novel representation learning framework that learns isometric embeddings by explicitly modeling the intrinsic geodesic metric of 3D surfaces, achieving superior performance on various geometric tasks.
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cs.CVRecentJun 1, 2026
From Extrinsic to Intrinsic: Geodesic-Guided Representation Learning for 3D Geometric Data
Yuming Zhao, Junhui Hou, Qijian Zhang, Jia Qin +1 more
The paper introduces PRISM, a novel representation learning framework that learns isometric embeddings by explicitly modeling the intrinsic geodesic metric of 3D surfaces, achieving superior performan…
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