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Found 2 papers, 1 papers with code
Joint Learning for Scattered Point Cloud Understanding with Hierarchical Self-Distillation
Numerous point-cloud understanding techniques focus on whole entities and have succeeded in obtaining satisfactory results and limited sparsity tolerance.
"Zero-Shot" Point Cloud Upsampling
Recent supervised point cloud upsampling methods are restricted by the size of training data and are limited in terms of covering all object shapes.
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