Overview to Samplenet Learning A Differentiable Point Cloud Sampling Network
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Learn3DG 2021: Rethinking Sampling in 3D Point Cloud GANs
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver (6-min video)
A survey of downsampling and upsampling methods for 3D Point Cloud Processing
E20 Guocheng Qian PU GCN Point Cloud Upsampling using Graph Convolutional Networks
[CVPR 2025] SAMBLE: Shape-Specific Point Cloud Sampling
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks
Label Efficient Learning on Point Clouds using ACD
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
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Last Updated: August 23, 2026
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![[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver (6-min video)](https://i.ytimg.com/vi/FL8LMk_qWb4/mqdefault.jpg)
![[CVPR 2025] SAMBLE: Shape-Specific Point Cloud Sampling](https://i.ytimg.com/vi/FZtNayVyaRE/mqdefault.jpg)
