UGD learns a Gaussian Mixture Model from clean point cloud patches to evaluate denoising degradation without requiring ground-truth clean data.
Denoising point clouds in latent space via graph convolution and invertible neural network
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UGD: An Unsupervised Geometric Distance for Evaluating Real-world Noisy Point Cloud Denoising
UGD learns a Gaussian Mixture Model from clean point cloud patches to evaluate denoising degradation without requiring ground-truth clean data.