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3D Dense Shape Correspondence

3D › 3D Shape Representation › 3D Dense Shape Correspondence 11 평가 기록 1 datasets

Finding a meaningful correspondence between two or more shapes is one of the most fundamental shape analysis tasks. The problem can be generally stated as: given input shapes S1,S2,...,SN, find a meaningful relation (or mapping) between their elements. Under different contexts, the problem has also been referred to as registration, alignment, or simply, matching. Shape correspondence is a key algorithmic component in tasks such as 3D scan alignment and space-time reconstruction, as well as an indispensable prerequisite in diverse applications including attribute transfer, shape interpolation, and statistical modeling.

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Dataset기록된 모델 예시MetricPaperCode
Diffusion 3D Features (Zero-shot)
Euclidean Mean Error (EME): 1.7Accuracy at 1%: 26.4
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