{"id":13443444,"url":"https://github.com/hancyran/RepSurf","last_synced_at":"2025-03-20T16:31:16.932Z","repository":{"id":42401946,"uuid":"474485326","full_name":"hancyran/RepSurf","owner":"hancyran","description":"[CVPR 2022 Oral] Official implementation for \"Surface Representation for Point Clouds\"","archived":false,"fork":false,"pushed_at":"2022-11-02T04:02:06.000Z","size":991,"stargazers_count":332,"open_issues_count":19,"forks_count":25,"subscribers_count":6,"default_branch":"main","last_synced_at":"2024-10-28T06:58:20.824Z","etag":null,"topics":["cvpr2022","modelnet40","point-cloud","pytorch","s3dis","scannet","scanobjectnn","sunrgbd"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hancyran.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-03-26T22:57:23.000Z","updated_at":"2024-10-27T11:30:33.000Z","dependencies_parsed_at":"2023-01-21T01:09:23.653Z","dependency_job_id":null,"html_url":"https://github.com/hancyran/RepSurf","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hancyran%2FRepSurf","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hancyran%2FRepSurf/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hancyran%2FRepSurf/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hancyran%2FRepSurf/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hancyran","download_url":"https://codeload.github.com/hancyran/RepSurf/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244649830,"owners_count":20487502,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cvpr2022","modelnet40","point-cloud","pytorch","s3dis","scannet","scanobjectnn","sunrgbd"],"created_at":"2024-07-31T03:02:00.815Z","updated_at":"2025-03-20T16:31:16.182Z","avatar_url":"https://github.com/hancyran.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# RepSurf - Surface Representation for Point Clouds \u003cbr\u003e [CVPR 2022 Oral]\n\nBy *[Haoxi Ran\\*](https://hancyran.github.io/) , Jun Liu, Chengjie Wang* ( * : corresponding contact)\n\n[![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) \u003cbr\u003e\n[![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) \u003cbr\u003e\n[![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) \u003cbr\u003e\n[![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) \u003cbr\u003e\n[![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) \u003cbr\u003e\n[![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) \n\n### The pytorch official implementation of \"[Surface Representation for Point Clouds](http://arxiv.org/abs/2205.05740)\" \n### [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)\n\n\n\u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"assets/teaser.png\" width=\"600px\"\u003e\n\u003c/div\u003e\n\n\n## News:\n- (**Sep 10** NEW :fire:) We have uploaded the implementation of RepSurf on S3DIS along with its training log and pretrained weights.\n- (**June 24** :fire:) We sucessfully finished our Oral presentation at CVPR 2022!\n- (**May 11**) We have uploaded the implementation of RepSurf on ScanObjectNN along with its training log and pretrained weights. \n\n## Tasks:\n\n### We conduct experiments of different tasks on different codebases:\n\n\u003e Classification: **[3D Object Classification](./classification)** \u003cbr\u003e\n\u003e Segmentation: **[3D Semantic Segmentation](./segmentation)**\n\n\n## Visualization\n\nWe provide several visualization results in the folder **./visualization** for a closer look at the construction of\nRepSurf.\n\n\n## License\n\nRepSurf is under the Apache-2.0 license. Please contact the primary author **Haoxi Ran (ranhaoxi@gmail.com)** for\ncommercial use.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhancyran%2FRepSurf","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhancyran%2FRepSurf","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhancyran%2FRepSurf/lists"}