RepSurf
[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"
Install / Use
/learn @hancyran/RepSurfREADME
RepSurf - Surface Representation for Point Clouds <br> [CVPR 2022 Oral]
By Haoxi Ran* , Jun Liu, Chengjie Wang ( * : corresponding contact)
The pytorch official implementation of "Surface Representation for Point Clouds"
PDF | arXiv
<div align="center"> <img src="assets/teaser.png" width="600px"> </div>News:
- (Sep 10 NEW :fire:) We have uploaded the implementation of RepSurf on S3DIS along with its training log and pretrained weights.
- (June 24 :fire:) We sucessfully finished our Oral presentation at CVPR 2022!
- (May 11) We have uploaded the implementation of RepSurf on ScanObjectNN along with its training log and pretrained weights.
Tasks:
We conduct experiments of different tasks on different codebases:
Classification: 3D Object Classification <br> Segmentation: 3D Semantic Segmentation
Visualization
We provide several visualization results in the folder ./visualization for a closer look at the construction of RepSurf.
License
RepSurf is under the Apache-2.0 license. Please contact the primary author Haoxi Ran (ranhaoxi@gmail.com) for commercial use.
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