{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T15:44:08Z","timestamp":1781797448850,"version":"3.54.5"},"reference-count":51,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T00:00:00Z","timestamp":1748217600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T00:00:00Z","timestamp":1748217600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100008450","name":"Biomet","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008450","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,26]]},"DOI":"10.1109\/fg61629.2025.11099217","type":"proceedings-article","created":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T17:55:00Z","timestamp":1754502900000},"page":"1-10","source":"Crossref","is-referenced-by-count":5,"title":["ID-Booth: Identity-consistent Face Generation with Diffusion Models"],"prefix":"10.1109","author":[{"given":"Darian","family":"Toma\u0161evi\u0107","sequence":"first","affiliation":[{"name":"University of Ljubljana,Faculty of Computer and Information Science,Ljubljana,Slovenia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fadi","family":"Boutros","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenhao","family":"Lin","sequence":"additional","affiliation":[{"name":"Xi’an Jiaotong University,School of Cyber Science and Engineering,Xi’an,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naser","family":"Damer","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vitomir","family":"\u0160truc","sequence":"additional","affiliation":[{"name":"University of Ljubljana,Faculty of Electrical Engineering,Ljubljana,Slovenia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Peer","sequence":"additional","affiliation":[{"name":"University of Ljubljana,Faculty of Computer and Information Science,Ljubljana,Slovenia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108102"},{"key":"ref2","article-title":"Demystifying MMD GANs","volume-title":"International Conference on Learning Representations (ICLR)","author":"Bi\u0144kowski"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00565"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01800"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IJCB54206.2022.10007961"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2023.104688"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00041"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00520"},{"key":"ref11","first-page":"8780","article-title":"Diffusion models beat GANs on image synthesis","volume":"34","author":"Dhariwal","year":"2021","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref12","article-title":"The Vendi score: A diversity evaluation metric for machine learning","author":"Friedman","year":"2024","journal-title":"Transactions on Machine Learning Research"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_6"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3378180"},{"key":"ref17","first-page":"6626","article-title":"GANs trained by a two time-scale update rule converge to a local nash equilibrium","author":"Heusel","year":"2017","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref18","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref19","article-title":"LoRA: Low-rank adaptation of large language models","volume-title":"International Conference on Learning Representations (ICLR)","author":"Hu"},{"key":"ref20","article-title":"Labeled faces in the wild: A database for studying face recognition in unconstrained environments","volume-title":"Technical Report 07-49","author":"Huang","year":"2007"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3403\/30385908"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.5040\/9781509926237.ch-007"},{"key":"ref23","first-page":"12104","article-title":"Training generative adversarial networks with limited data","author":"Karras","year":"2020","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01819"},{"key":"ref26","first-page":"1","article-title":"Decoupled weight decay regularization","volume-title":"International Conference on Learning Representations (ICLR)","author":"Loshchilov"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3096024"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.250"},{"key":"ref29","first-page":"7176","article-title":"Reliable fidelity and diversity metrics for generative models","volume-title":"PMLR International Conference on Machine Learning (ICML)","author":"Naeem"},{"key":"ref30","article-title":"DINOv2: Learning robust visual features without supervision","author":"Oquab","year":"2024","journal-title":"Transactions on Machine Learning Research"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2884458"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72913-3_14"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02557"},{"key":"ref34","article-title":"SDXL: Improving latent diffusion models for high-resolution image synthesis","volume-title":"International Conference on Learning Representations (ICLR)","author":"Podell"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01070"},{"key":"ref36","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"PMLR International Conference on Machine Learning (ICML)","author":"Radford"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01042"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02155"},{"key":"ref40","article-title":"Assessing generative models via precision and recall","volume":"31","author":"Sajjadi","year":"2018","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477558"},{"key":"ref42","article-title":"Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models","volume":"36","author":"Stein","year":"2023","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.108495"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2018.09.011"},{"key":"ref46","article-title":"InstantID: Zero-shot identity-preserving generation in seconds","author":"Wang","year":"2024","journal-title":"arXiv preprint arXiv:2401.07519"},{"key":"ref47","article-title":"IP-Adapter","author":"Ye","year":"2023","journal-title":"arXiv preprint arXiv:2308.06721"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"issue":"7","key":"ref50","first-page":"2018","article-title":"Cross-Pose LFW: A database for studying cross-pose face recognition in unconstrained environments","volume-title":"Beijing University of Posts and Telecommunications, Tech. Rep","volume":"5","author":"Zheng"},{"key":"ref51","article-title":"Cross-Age LFW: A database for studying cross-age face recognition in unconstrained environments","author":"Zheng","year":"2017","journal-title":"arXiv preprint arXiv:1708.08197"}],"event":{"name":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)","location":"Tampa\/Clearwater, FL, USA","start":{"date-parts":[[2025,5,26]]},"end":{"date-parts":[[2025,5,30]]}},"container-title":["2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11099084\/11099070\/11099217.pdf?arnumber=11099217","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T04:44:39Z","timestamp":1769489079000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11099217\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,26]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/fg61629.2025.11099217","relation":{},"subject":[],"published":{"date-parts":[[2025,5,26]]}}}