A self-supervised multimodal approach for non-rigid 3D shape matching that achieves state-of-the-art results on benchmarks and previously unseen cross-dataset generalization.
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Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
A self-supervised multimodal approach for non-rigid 3D shape matching that achieves state-of-the-art results on benchmarks and previously unseen cross-dataset generalization.