{"id":13443483,"url":"https://github.com/Yang7879/3D-RecGAN-extended","last_synced_at":"2025-03-20T16:31:40.490Z","repository":{"id":44566314,"uuid":"119563890","full_name":"Yang7879/3D-RecGAN-extended","owner":"Yang7879","description":"🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)","archived":false,"fork":false,"pushed_at":"2019-08-17T06:18:14.000Z","size":10650,"stargazers_count":133,"open_issues_count":16,"forks_count":29,"subscribers_count":12,"default_branch":"master","last_synced_at":"2024-08-01T03:43:45.727Z","etag":null,"topics":["3d-computer-vision","3d-reconstruction","gans","generative-adversarial-network","shapenetcore"],"latest_commit_sha":null,"homepage":"https://arxiv.org/abs/1802.00411","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/Yang7879.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":"2018-01-30T16:36:38.000Z","updated_at":"2024-07-18T18:20:52.000Z","dependencies_parsed_at":"2022-08-31T06:51:39.399Z","dependency_job_id":null,"html_url":"https://github.com/Yang7879/3D-RecGAN-extended","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/Yang7879%2F3D-RecGAN-extended","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Yang7879%2F3D-RecGAN-extended/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Yang7879%2F3D-RecGAN-extended/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Yang7879%2F3D-RecGAN-extended/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Yang7879","download_url":"https://codeload.github.com/Yang7879/3D-RecGAN-extended/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":221780005,"owners_count":16879040,"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-computer-vision","3d-reconstruction","gans","generative-adversarial-network","shapenetcore"],"created_at":"2024-07-31T03:02:01.763Z","updated_at":"2024-10-28T04:31:13.421Z","avatar_url":"https://github.com/Yang7879.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# Dense 3D Object Reconstruction from a Single Depth View\nBo Yang, Stefano Rosa, Andrew Markham, Niki Trigoni, Hongkai Wen. [TPAMI](http://dx.doi.org/10.1109/TPAMI.2018.2868195), 2018.\n\n## (1) Architecture\n![Arch_Image](https://github.com/Yang7879/3D-RecGAN-extended/blob/master/3D-RecGAN%2B%2B_arch.png)\n## (2) Sample Results\n![Teaser_Image](https://github.com/Yang7879/3D-RecGAN-extended/blob/master/3D-RecGAN%2B%2B_sample.png)\n\n## (3) Data\n#### Part 1: {ShapeNetCore.v2: bench, chair, couch, table}, 20G\n[https://drive.google.com/open?id=1rmOggF0ivB42KozMX3sQGD1CkZNOGCmM](https://drive.google.com/open?id=1rmOggF0ivB42KozMX3sQGD1CkZNOGCmM)\n#### Part 2: {ShapeNetCore.v2: airplane, car, monitor, faucet, guitar, gun}, 9.3G\n[https://drive.google.com/open?id=1zLQd68O73ZiwZ8S8qsLwwGYDcC5PiEdG](https://drive.google.com/open?id=1zLQd68O73ZiwZ8S8qsLwwGYDcC5PiEdG)\n#### Real Dataset: {Kinect: bench, chair, couch, table}\n[https://drive.google.com/open?id=1wTE721q0r66Z6yyN68O1Tz4Bg5-aYnq3](https://drive.google.com/open?id=1wTE721q0r66Z6yyN68O1Tz4Bg5-aYnq3)\n\n## (4) Released Model\n#### Trained on {bench, chair, couch, table}, 2G\n[https://drive.google.com/open?id=1IzwZLgRhzd6GVofzdjBZTblxMPH7NuxP](https://drive.google.com/open?id=1IzwZLgRhzd6GVofzdjBZTblxMPH7NuxP)\n\n##### All data and the trained model are also avaliable at Baidu Pan:\n[https://pan.baidu.com/s/1FQXo_XQX4flDrE_jwElCCw](https://pan.baidu.com/s/1FQXo_XQX4flDrE_jwElCCw) 提取码: cam7\n\n## (5) Requirements\npython 2.7.6\n\ntensorflow 1.2.0\n\nnumpy 1.13.3\n\nscipy 0.19.0\n\nmatplotlib 2.0.2\n\nskimage 0.13.0\n\n## (6) Run\n#### Training\npython main_3D-RecGAN++.py\n\n#### Test Demo (Download released model first)\npython demo_3D-RecGAN++.py\n\n## (7) Citation\nIf you use the paper, code or data for your research, please cite:\n```\n@inProceedings{Yang18,\n  title={Dense 3D Object Reconstruction from a Single Depth View},\n  author = {Bo Yang\n  and Stefano Rosa\n  and Andrew Markham\n  and Niki Trigoni\n  and Hongkai Wen},\n  booktitle={TPAMI},\n  year={2018}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FYang7879%2F3D-RecGAN-extended","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FYang7879%2F3D-RecGAN-extended","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FYang7879%2F3D-RecGAN-extended/lists"}