Overview to Samplenet Learning A Differentiable Point Cloud Sampling Network
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Recent Updates
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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)
E20 Guocheng Qian PU GCN Point Cloud Upsampling using Graph Convolutional Networks
A survey of downsampling and upsampling methods for 3D Point Cloud Processing
[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
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
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Last Updated: August 16, 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)
