2025
U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching
NeurIPS 2025poster
Point clouds captured by scanning sensors are often perturbed by noise, which have a highly negative impact on downstream tasks (e.g. surface reconstruction and shape understanding). Previous works mostly focus on training neural networks with noisy-clean point cloud pairs for learning denoising pri…