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A possible solution is to sample the point cloud first. Classic sampling approaches, such as farthest Santosh Vempala (Georgia Tech) Simons Institute 10th Anniversary Symposium. Authors: Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui Description: Raw Marco Bressan (University of Milan) Extroverted ... Authors: Itai Lang, Asaf Manor, Shai Avidan Description: There is a growing number of tasks that work directly on Itai Lang, Oren Dovrat, Asaf Manor, Shai Avidan, Tel Aviv University Israel Computer Vision Day 2019 6.1.20.
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Continuous Algorithms: Sampling and Optimization in High Dimension
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling
Sketching, Sampling and Sublinear Time Algorithms
Linear and sublinear algorithms for graphlet sampling
SampleNet: Differentiable Point Cloud Sampling
TIGRIS: An Informed Sampling-based Algorithm for Informative Path Planning
SampleNet: Learning a Differentiable Point Cloud Sampling Network
Math for Game Developers - Procedural Generation (Uniform Sampling of a Circle)
Farthest Point Sampling
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Last Updated: June 19, 2026
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