{"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/animeceleb-large-scale-animation-celebfaces","title":"AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment","arxiv_id":"2111.07640","date":"2021-11-15","proceeding":null,"authors":["Kangyeol Kim","Sunghyun Park","Jaeseong Lee","Sunghyo Chung","Junsoo Lee","Jaegul Choo"],"abstract":"We present a novel Animation CelebHeads dataset (AnimeCeleb) to address an animation head reenactment. Different from previous animation head datasets, we utilize 3D animation models as the controllable image samplers, which can provide a large amount of head images with their corresponding detailed pose annotations. To facilitate a data creation process, we build a semi-automatic pipeline leveraging an open 3D computer graphics software with a developed annotation system. After training with the AnimeCeleb, recent head reenactment models produce high-quality animation head reenactment results, which are not achievable with existing datasets. Furthermore, motivated by metaverse application, we propose a novel pose mapping method and architecture to tackle a cross-domain head reenactment task. During inference, a user can easily transfer one's motion to an arbitrary animation head. Experiments demonstrate the usefulness of the AnimeCeleb to train animation head reenactment models, and the superiority of our cross-domain head reenactment model compared to state-of-the-art methods. Our dataset and code are available at https://github.com/kangyeolk/AnimeCeleb.","url_abs":"https://arxiv.org/abs/2111.07640v2","url_pdf":"https://arxiv.org/pdf/2111.07640v2.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":"animeceleb-large-scale-animation-celebfaces","repo_url":"https://github.com/kangyeolk/animeceleb","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"colorization","task_name":"Colorization"},{"task_slug":"face-reenactment","task_name":"Face Reenactment"},{"task_slug":"talking-head-generation","task_name":"Talking Head Generation"}],"methods":[],"datasets_introduced":[{"slug":"animeceleb","name":"AnimeCeleb","full_name":"AnimeCeleb"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2111.07640","atlas_url":"https://app.syntology.ai/?focus=2111.07640","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}