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Found 2 papers, 1 papers with code
A Graph Neural Network Approach for Temporal Mesh Blending and Correspondence
We have proposed a self-supervised deep learning framework for solving the mesh blending problem in scenarios where the meshes are not in correspondence.
RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly
Autonomous assembly of objects is an essential task in robotics and 3D computer vision.
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