PRISM is a pre-training method that learns isometric latent embeddings by explicitly recovering surface geodesic distances with a topology-enforcing loss and a two-stage training schedule.
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From Extrinsic to Intrinsic: Geodesic-Guided Representation Learning for 3D Geometric Data
PRISM is a pre-training method that learns isometric latent embeddings by explicitly recovering surface geodesic distances with a topology-enforcing loss and a two-stage training schedule.