DenseMatcher combines 2D image features with a 3D neural network and functional maps to compute dense semantic correspondences between textured 3D objects, enabling single-demo cross-category robot manipulation.
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DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
DenseMatcher combines 2D image features with a 3D neural network and functional maps to compute dense semantic correspondences between textured 3D objects, enabling single-demo cross-category robot manipulation.