Overview to Samplenet Differentiable Point Cloud Sampling
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History
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Itai Lang - SampleNet
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver (6-min video)
A survey of downsampling and upsampling methods for 3D Point Cloud Processing
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Maximum Leverage Sampling for the selection of correspondences (synthetic point cloud)
Random Sub Sampling Point Cloud CloudCompare
E20 Guocheng Qian PU GCN Point Cloud Upsampling using Graph Convolutional Networks
Point Cloud Upsampling via Disentangled Refinement. CVPR 2021
Detailed Analysis
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Last Updated: August 21, 2026
Summary
For 2026, Samplenet Differentiable Point Cloud Sampling remains one of the most searched-for creator profiles. Check back for the newest reports.
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![Verified [CVPR 2020] SampleNet: Differentiable Point Cloud Sampling Dev Index](https://i.ytimg.com/vi/wOKlqnJ0XcE/mqdefault.jpg)
![[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver (6-min video)](https://i.ytimg.com/vi/FL8LMk_qWb4/mqdefault.jpg)
