{
 "id": "Enderfga/HumanRefiner",
 "owner": "Enderfga",
 "name": "HumanRefiner",
 "downloads": 448,
 "likes": 11,
 "last_modified": "2024-10-08T17:11:13.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
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 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-to-image"
 ],
 "citation": "@InProceedings{10.1007/978-3-031-73411-3_12,\nauthor=\"Guian Fang, Wenbiao Yan, Yuanfan Guo, Jianhua Han, Zutao Jiang, Hang Xu, Shengcai Liao, Xiaodan Liang\",\neditor=\"Leonardis, Ale{\\v{s}}\nand Ricci, Elisa\nand Roth, Stefan\nand Russakovsky, Olga\nand Sattler, Torsten\nand Varol, G{\\\"u}l\",\ntitle=\"HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance\",\nbooktitle=\"Computer Vision -- ECCV 2024\",\nyear=\"2025\",\npublisher=\"Springer Nature Switzerland\",\nabstract=\"Text-to-image diffusion models have significantly advanced in conditional image generation. However, these models usually struggle with accurately rendering images featuring humans, resulting in distorted limbs and other anomalies. This issue primarily stems from the insufficient recognition and evaluation of limb qualities in diffusion models. To address this issue, we introduce AbHuman, the first large-scale synthesized human benchmark focusing on anatomical anomalies. This benchmark consists of 56K synthesized human images, each annotated with detailed, bounding-box level labels identifying 147K human anomalies in 18 different categories. Based on this, the recognition of human anomalies can be established, which in turn enhances image generation through traditional techniques such as negative prompting and guidance. To further boost the improvement, we propose HumanRefiner, a novel plug-and-play approach for the coarse-to-fine refinement of human anomalies in text-to-ima",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "15b408cfde8c33cf6bb5b25114206c8b78b3e571",
 "stated_evidence": "https://huggingface.co/datasets/Enderfga/HumanRefiner/blob/15b408cfde8c33cf6bb5b25114206c8b78b3e571/README.md",
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}