{"paper":{"title":"The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anlan Wang, Anlong Ming, Boao Kang, Boyuan Liu, Dianqiao Lei, Dizhe Zhang, Dong Li, Haoxiang Li, Huadong Ma, Jiaming Wang, Jiliang Zhao, Jinghui Sun, Ji Wu, Luoqi Liu, Lu Qi, Miao Li, Mingyu Guo, Qiu Zhou, Rui Yang, Ruiyang Zhang, Shanglin Li, Shanzhao Tong, Shuai He, Sujia Wang, Taoyang Mu, Ting Liu, Wei Zhou, Wenfeng Lin, Xian Ge, Xianshun Wang, Xiaochao Qu, Xi Chen, Xinghao Wang, Xun Zhu, Yanting Li, Yichen Zhang, Yipo Huang, Yongqi Yang, Youyun Tang, Zheng Zhang, Zhenyu Yan, Zifan Xie, Zijie Lou","submitted_at":"2026-06-09T14:05:48Z","abstract_excerpt":"This paper presents an overview of the inaugural PortraitCraft Challenge, held as one of the official competitions at CVPR 2026. The challenge focuses on portrait composition understanding and generation, aiming to advance AI research in portrait aesthetics analysis and controllable image synthesis. Unlike existing datasets and tasks that primarily focus on global aesthetic scoring, PortraitCraft introduces a unified evaluation framework comprising two complementary tracks. Track 1 requires models to perform structured portrait composition understanding, and Track 2 requires models to generate"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10894","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.10894/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}