NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function Qing Li
–Neural Information Processing Systems
Normal estimation for 3D point clouds is a fundamental task in 3D geometry processing. The state-of-the-art methods rely on priors of fitting local surfaces learned from normal supervision.
Neural Information Processing Systems
Oct-9-2025, 08:03:07 GMT
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