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Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
A new framework for accurate point cloud upsampling that supports arbitrary upsampling rates. Accepted by CVPR 2023.
Yun He, Danhang Tang, Yinda Zhang, Xiangyang Xue, Yanwei Fu
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Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
Density-preserving Deep Point Cloud Compression
A novel deep point cloud compression method that preserves local density information. Accepted by CVPR 2022.
Yun He, Xinlin Ren*, Danhang Tang, Yinda Zhang, Xiangyang Xue, Yanwei Fu
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Density-preserving Deep Point Cloud Compression
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Yun He, Robert Ford
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An example conference paper