Yochengliu/Relation-Shape-CNN
PyTorch implementation of a CNN for 3D point cloud analysis achieving shape recognition, segmentation, and normal estimation.
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This repository provides the official PyTorch implementation of Relation-Shape CNN, a deep learning method for processing 3D point clouds. The paper introduces relation-shape convolution to learn geometric features from unordered point sets. It addresses tasks including 3D shape classification, part segmentation, and normal estimation, and was published at CVPR 2019 as an Oral presentation.
Frequently asked
- What is Yochengliu/Relation-Shape-CNN?
- PyTorch implementation of a CNN for 3D point cloud analysis achieving shape recognition, segmentation, and normal estimation.
- Is Relation-Shape-CNN open source?
- Yes — Yochengliu/Relation-Shape-CNN is open source, released under the MIT license.
- What language is Relation-Shape-CNN written in?
- Yochengliu/Relation-Shape-CNN is primarily written in Python.
- How popular is Relation-Shape-CNN?
- Yochengliu/Relation-Shape-CNN has 425 stars on GitHub.
- Where can I find Relation-Shape-CNN?
- Yochengliu/Relation-Shape-CNN is on GitHub at https://github.com/Yochengliu/Relation-Shape-CNN.