Overview to Samplenet Learning A Differentiable Point Cloud Sampling Network
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Learn3DG 2021: Rethinking Sampling in 3D Point Cloud GANs
[CVPR 2025] SAMBLE: Shape-Specific Point Cloud Sampling
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver (6-min video)
E20 Guocheng Qian PU GCN Point Cloud Upsampling using Graph Convolutional Networks
PointNet Explained: Deep Learning for Point Clouds
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Label Efficient Learning on Point Clouds using ACD
SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion
Shai Avidan: Learning to Sample
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Last Updated: August 16, 2026
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![[CVPR 2025] SAMBLE: Shape-Specific Point Cloud Sampling](https://i.ytimg.com/vi/FZtNayVyaRE/mqdefault.jpg)
![[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver (6-min video)](https://i.ytimg.com/vi/FL8LMk_qWb4/mqdefault.jpg)
