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PRISM achieves superior performance in 3D representation learning by leveraging intrinsic geometric properties, outperforming traditional methods that rely on extrinsic features.
Achieve high-fidelity 3D reconstruction of thin structures from point clouds by decoupling metric distance and topological phase, sidestepping the limitations of both SDFs and UDFs.
