{"id":20115977,"url":"https://github.com/lihangliu/3d-colorization","last_synced_at":"2026-04-18T10:38:38.824Z","repository":{"id":86591441,"uuid":"83571077","full_name":"LihangLiu/3d-colorization","owner":"LihangLiu","description":null,"archived":false,"fork":false,"pushed_at":"2017-10-17T19:53:24.000Z","size":18474,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-08-25T05:01:07.074Z","etag":null,"topics":["3dshapenet","colorization","deeplearning","tensorflow"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/LihangLiu.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2017-03-01T15:39:35.000Z","updated_at":"2020-08-04T23:31:45.000Z","dependencies_parsed_at":"2023-03-22T19:46:17.887Z","dependency_job_id":null,"html_url":"https://github.com/LihangLiu/3d-colorization","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/LihangLiu/3d-colorization","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LihangLiu%2F3d-colorization","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LihangLiu%2F3d-colorization/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LihangLiu%2F3d-colorization/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LihangLiu%2F3d-colorization/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LihangLiu","download_url":"https://codeload.github.com/LihangLiu/3d-colorization/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LihangLiu%2F3d-colorization/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31966207,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-18T00:39:45.007Z","status":"online","status_checked_at":"2026-04-18T02:00:07.018Z","response_time":103,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["3dshapenet","colorization","deeplearning","tensorflow"],"created_at":"2024-11-13T18:37:24.371Z","updated_at":"2026-04-18T10:38:38.794Z","avatar_url":"https://github.com/LihangLiu.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 3D Colorization\nThis repository contains implementations of several algorithms for 3d volume colorization. Given a binary voxel, the model outputs the same shape with colorizations. To run the code, you should have the tensorflow installed in your python. \n\n## Dataset\nOur model takes the 3d voxel representations as input. We used \u003ca href=\"https://arxiv.org/abs/1512.03012\"\u003eShapenet Core dataset\u003c/a\u003e for training. Before training, the conversion from obj format to voxel representations is required and implenmented under the 3d-colorization/objLoader directory. The dataset can't be provided directly due to license limitations. Please contact the Shapenet team for dataset downloading. \n\n## Algorithms for 3d volume colorization\n\n### cwgan \n\u003ca href=\"https://arxiv.org/abs/1701.07875\"\u003eConditional Wasserstein GAN\u003c/a\u003e. To run:\n\n    cd src64/cwgan\n    python train.py\n    \n### cwgan with surface kernel\nStill in process. To run:\n\n    cd src64/cwgan-conv2_5d\n    python train.py\n\n### vae \n\u003ca href=\"https://arxiv.org/abs/1606.05908\"\u003eVariational Autoencoder\u003c/a\u003e. To run:\n\n    cd src-vae/vae\n    python train.py\n\n### began\n\u003ca href=\"https://arxiv.org/abs/1703.10717\"\u003eBoundary Equibilibrium GAN\u003c/a\u003e. To run:\n\n    cd src64/began\n    python train.py\n    \n### hourglass\n\u003ca href=\"https://arxiv.org/abs/1603.06937\"\u003eStacked Hourglass Networks\u003c/a\u003e. Only two stacks due to the meomory limitation issue. To run:\n\n    cd src-vae\n    python train.py\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flihangliu%2F3d-colorization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flihangliu%2F3d-colorization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flihangliu%2F3d-colorization/lists"}