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Zhejiang University, China Zhejiang Lab, China Wenzhou University of Technology, China 33email:
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State-of-the-art non-rigid 3D shape matching is achieved through a novel coarse-to-fine self-supervised approach that balances efficiency and accuracy.
Unsupervised contrastive learning can now outperform supervised methods for 3D shape matching, while simultaneously slashing computational costs.
