{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/celebv-hq-a-large-scale-video-facial","title":"CelebV-HQ: A Large-Scale Video Facial Attributes Dataset","arxiv_id":"2207.12393","date":"2022-07-25","proceeding":null,"authors":["Hao Zhu","Wayne Wu","Wentao Zhu","Liming Jiang","Siwei Tang","Li Zhang","Ziwei Liu","Chen Change Loy"],"abstract":"Large-scale datasets have played indispensable roles in the recent success of face generation/editing and significantly facilitated the advances of emerging research fields. However, the academic community still lacks a video dataset with diverse facial attribute annotations, which is crucial for the research on face-related videos. In this work, we propose a large-scale, high-quality, and diverse video dataset with rich facial attribute annotations, named the High-Quality Celebrity Video Dataset (CelebV-HQ). CelebV-HQ contains 35,666 video clips with the resolution of 512x512 at least, involving 15,653 identities. All clips are labeled manually with 83 facial attributes, covering appearance, action, and emotion. We conduct a comprehensive analysis in terms of age, ethnicity, brightness stability, motion smoothness, head pose diversity, and data quality to demonstrate the diversity and temporal coherence of CelebV-HQ. Besides, its versatility and potential are validated on two representative tasks, i.e., unconditional video generation and video facial attribute editing. Furthermore, we envision the future potential of CelebV-HQ, as well as the new opportunities and challenges it would bring to related research directions. Data, code, and models are publicly available. Project page: https://celebv-hq.github.io.","url_abs":"https://arxiv.org/abs/2207.12393v1","url_pdf":"https://arxiv.org/pdf/2207.12393v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"celebv-hq-a-large-scale-video-facial","repo_url":"https://github.com/celebv-hq/celebv-hq","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"attribute","task_name":"Attribute"},{"task_slug":"diversity","task_name":"Diversity"},{"task_slug":"face-generation","task_name":"Face Generation"},{"task_slug":"unconditional-video-generation","task_name":"Unconditional Video Generation"},{"task_slug":"video-generation","task_name":"Video Generation"}],"methods":[],"datasets_introduced":[{"slug":"celebv-hq","name":"CelebV-HQ","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/unconditional-video-generation-on-celebv-hq","task":"Unconditional Video Generation","dataset":"CelebV-HQ","model":"StyleGAN-V","rank_in_archive_order":1,"of":4,"metrics":{"FID":"17.95","FVD":"69.17"},"uses_additional_data":false},{"leaderboard":"/sota/unconditional-video-generation-on-celebv-hq","task":"Unconditional Video Generation","dataset":"CelebV-HQ","model":"DIGAN","rank_in_archive_order":2,"of":4,"metrics":{"FID":"19.39","FVD":"72.98"},"uses_additional_data":false},{"leaderboard":"/sota/unconditional-video-generation-on-celebv-hq","task":"Unconditional Video Generation","dataset":"CelebV-HQ","model":"VideoGPT","rank_in_archive_order":3,"of":4,"metrics":{"FID":"52.95","FVD":"177.89"},"uses_additional_data":false},{"leaderboard":"/sota/unconditional-video-generation-on-celebv-hq","task":"Unconditional Video Generation","dataset":"CelebV-HQ","model":"MoCoGAN-HD","rank_in_archive_order":4,"of":4,"metrics":{"FID":"21.55","FVD":"212.41"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2207.12393","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}