{"id":13717185,"url":"https://github.com/mbanani/unsupervisedrr","last_synced_at":"2025-05-07T07:30:34.294Z","repository":{"id":45815476,"uuid":"339465334","full_name":"mbanani/unsupervisedRR","owner":"mbanani","description":"[CVPR 2021 - Oral] UnsupervisedR\u0026R: Unsupervised Point Cloud Registration via Differentiable Rendering","archived":false,"fork":false,"pushed_at":"2021-04-15T12:33:00.000Z","size":4774,"stargazers_count":136,"open_issues_count":0,"forks_count":20,"subscribers_count":9,"default_branch":"main","last_synced_at":"2024-08-04T00:13:11.267Z","etag":null,"topics":["3d-vision","alignment","differentiable-rendering","point-cloud","registration"],"latest_commit_sha":null,"homepage":"https://mbanani.github.io/unsupervisedrr","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mbanani.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2021-02-16T16:47:51.000Z","updated_at":"2024-07-15T11:25:13.000Z","dependencies_parsed_at":"2022-08-02T23:31:11.006Z","dependency_job_id":null,"html_url":"https://github.com/mbanani/unsupervisedRR","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/mbanani%2FunsupervisedRR","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mbanani%2FunsupervisedRR/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mbanani%2FunsupervisedRR/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mbanani%2FunsupervisedRR/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mbanani","download_url":"https://codeload.github.com/mbanani/unsupervisedRR/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224573292,"owners_count":17333802,"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":["3d-vision","alignment","differentiable-rendering","point-cloud","registration"],"created_at":"2024-08-03T00:01:19.049Z","updated_at":"2024-11-14T05:31:03.765Z","avatar_url":"https://github.com/mbanani.png","language":"Python","readme":"UnsupervisedR\u0026R: Unsupervised Pointcloud Registration via Differentiable Rendering\n====================================\n\nThis repository holds all the code and data for our recent work on unsupervised point cloud\nregistration:\n\n**[UnsupervisedR\u0026R: Unsupervised Pointcloud Registration via Differentiable Rendering][1]**  \n[Mohamed El Banani](https://mbanani.github.io), [Luya Gao](https://scholar.google.com/citations?user=OHk0dbgAAAAJ), [Justin Johnson](https://web.eecs.umich.edu/~justincj/)\n\nIf you find this code useful, please consider citing:  \n```text\n@inProceedings{elbanani2021unsupervisedrr,\n  title={{UnsupervisedR\u0026R: Unsupervised Pointcloud Registration via Differentiable Rendering}},\n  author={El Banani, Mohamed and Gao, Luya and Johnson, Justin},\n  booktitle={CVPR},\n  year={2021},\n}\n```\n\nIf you have any questions about the paper or the code, please feel free to email me at\nmbanani@umich.edu \n\n\nUsage Instructions\n------------------\n\n1. [How to setup your environment?][2]\n2. [How to download and setup the datasets?][3]\n3. [How to train models?][4]\n4. [How to run inference with pretrained checkpoints?][5]\n\nAcknowledgments\n---------------\nWe would like to thank the reviewers and area chairs for their valuable comments and suggestions. \nWe also thank Nilesh Kulkarni, Karan Desai, Richard Higgins, and Max Smith for many helpful\ndiscussions and feedback on early drafts of this work. \n\nWe would also like to acknowledge the following repositories and users for making great code openly\navailable for us to use:\n\n- [@pytorch/pytorch](https://www.github.com/pytorch/pytorch)\n- [@facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d) for a great 3D vision\n  library. \n- [@intel-isl/Open3D](https://github.com/intel-isl/Open3D) for easy to use implementations of\n  traditional methods and great visualizers. \n- [@chrischoy](https://github.com/chrischoy/DeepGlobalRegistration) and\n  [@zgojcic](https://github.com/zgojcic/3D_multiview_reg) for releasing excellent code that allows\nfor easy geometric registration. \n\n\n[1]: https://mbanani.github.io/unsupervisedrr/\n[2]: https://github.com/mbanani/unsupervisedRR/tree/main/docs/environment.md \n[3]: https://github.com/mbanani/unsupervisedRR/tree/main/docs/datasets.md \n[4]: https://github.com/mbanani/unsupervisedRR/tree/main/docs/training.md\n[5]: https://github.com/mbanani/unsupervisedRR/tree/main/docs/evaluation.md \n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmbanani%2Funsupervisedrr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmbanani%2Funsupervisedrr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmbanani%2Funsupervisedrr/lists"}