https://github.com/hancyran/RepSurf

[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"
https://github.com/hancyran/RepSurf

cvpr2022 modelnet40 point-cloud pytorch s3dis scannet scanobjectnn sunrgbd

Last synced: about 2 months ago
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[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"

• Host: GitHub
• URL: https://github.com/hancyran/RepSurf
• Owner: hancyran
• License: apache-2.0
• Created: 2022-03-26T22:57:23.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-11-02T04:02:06.000Z (about 2 years ago)
• Last Synced: 2024-08-01T03:43:44.025Z (5 months ago)
• Topics: cvpr2022, modelnet40, point-cloud, pytorch, s3dis, scannet, scanobjectnn, sunrgbd
• Language: Python
• Homepage:
• Size: 968 KB
• Stars: 328
• Watchers: 6
• Forks: 25
• Open Issues: 19
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# RepSurf - Surface Representation for Point Clouds 
 [CVPR 2022 Oral]

By *[Haoxi Ran\*](https://hancyran.github.io/) , Jun Liu, Chengjie Wang* ( * : corresponding contact)

[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/surface-representation-for-point-clouds/3d-point-cloud-classification-on-scanobjectnn)](https://paperswithcode.com/sota/3d-point-cloud-classification-on-scanobjectnn?p=surface-representation-for-point-clouds) 


[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/surface-representation-for-point-clouds/3d-object-detection-on-sun-rgbd-val)](https://paperswithcode.com/sota/3d-object-detection-on-sun-rgbd-val?p=surface-representation-for-point-clouds) 


[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/surface-representation-for-point-clouds/3d-point-cloud-classification-on-modelnet40)](https://paperswithcode.com/sota/3d-point-cloud-classification-on-modelnet40?p=surface-representation-for-point-clouds) 


[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/surface-representation-for-point-clouds/semantic-segmentation-on-s3dis)](https://paperswithcode.com/sota/semantic-segmentation-on-s3dis?p=surface-representation-for-point-clouds) 


[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/surface-representation-for-point-clouds/3d-object-detection-on-scannetv2)](https://paperswithcode.com/sota/3d-object-detection-on-scannetv2?p=surface-representation-for-point-clouds) 


[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/surface-representation-for-point-clouds/semantic-segmentation-on-s3dis-area5)](https://paperswithcode.com/sota/semantic-segmentation-on-s3dis-area5?p=surface-representation-for-point-clouds) 

### The pytorch official implementation of "[Surface Representation for Point Clouds](http://arxiv.org/abs/2205.05740)" 

### [PDF](https://openaccess.thecvf.com/content/CVPR2022/papers/Ran_Surface_Representation_for_Point_Clouds_CVPR_2022_paper.pdf) | [arXiv](http://arxiv.org/abs/2205.05740)



  



## 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](./classification)** 


> Segmentation: **[3D Semantic Segmentation](./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 ([email protected])** for

commercial use.