{"id":13708686,"url":"https://github.com/zc-alexfan/hold","last_synced_at":"2025-05-06T13:32:03.425Z","repository":{"id":210034784,"uuid":"725535660","full_name":"zc-alexfan/hold","owner":"zc-alexfan","description":"[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D hand-object training data.","archived":false,"fork":false,"pushed_at":"2024-08-22T14:31:25.000Z","size":38702,"stargazers_count":255,"open_issues_count":5,"forks_count":6,"subscribers_count":11,"default_branch":"master","last_synced_at":"2024-08-22T16:25:02.960Z","etag":null,"topics":["3d-reconstruction","ai","artificial-intelligence","augmented-reality","computer-vision","hand-object-interaction","hand-object-reconstruction","hand-tracking","mano","mixed-reality","neural-networks","pose-estimation","pytorch","virtual-reality"],"latest_commit_sha":null,"homepage":"https://zc-alexfan.github.io/hold","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/zc-alexfan.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-11-30T10:53:07.000Z","updated_at":"2024-08-22T14:31:28.000Z","dependencies_parsed_at":"2024-04-04T23:22:09.114Z","dependency_job_id":"395684a9-25ab-4f55-90a8-93d83026d2f6","html_url":"https://github.com/zc-alexfan/hold","commit_stats":null,"previous_names":["zc-alexfan/hold"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zc-alexfan%2Fhold","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zc-alexfan%2Fhold/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zc-alexfan%2Fhold/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zc-alexfan%2Fhold/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zc-alexfan","download_url":"https://codeload.github.com/zc-alexfan/hold/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224504433,"owners_count":17322404,"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-reconstruction","ai","artificial-intelligence","augmented-reality","computer-vision","hand-object-interaction","hand-object-reconstruction","hand-tracking","mano","mixed-reality","neural-networks","pose-estimation","pytorch","virtual-reality"],"created_at":"2024-08-02T23:00:30.727Z","updated_at":"2024-11-13T18:32:15.389Z","avatar_url":"https://github.com/zc-alexfan.png","language":"Python","funding_links":[],"categories":["Paper List","ARCTIC 🥶: A Dataset for Dexterous Bimanual Hand-Object Manipulation","Python"],"sub_categories":["Follow-up Papers","Why use ARCTIC?"],"readme":null,"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzc-alexfan%2Fhold","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzc-alexfan%2Fhold","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzc-alexfan%2Fhold/lists"}