{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T21:06:27Z","timestamp":1774299987821,"version":"3.50.1"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004329","name":"Javna Agencija za Raziskovalno Dejavnost RS","doi-asserted-by":"crossref","award":["J2-50065"],"award-info":[{"award-number":["J2-50065"]}],"id":[{"id":"10.13039\/501100004329","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004329","name":"Javna Agencija za Raziskovalno Dejavnost RS","doi-asserted-by":"crossref","award":["P2-0250 (B)"],"award-info":[{"award-number":["P2-0250 (B)"]}],"id":[{"id":"10.13039\/501100004329","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004329","name":"Javna Agencija za Raziskovalno Dejavnost RS","doi-asserted-by":"crossref","award":["P2?0214 (A)"],"award-info":[{"award-number":["P2?0214 (A)"]}],"id":[{"id":"10.13039\/501100004329","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004329","name":"Javna Agencija za Raziskovalno Dejavnost RS","doi-asserted-by":"crossref","award":["Young Researcher Programme"],"award-info":[{"award-number":["Young Researcher Programme"]}],"id":[{"id":"10.13039\/501100004329","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3672229","type":"journal-article","created":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T19:59:26Z","timestamp":1773086366000},"page":"41650-41670","source":"Crossref","is-referenced-by-count":0,"title":["Diff-FIT: Generating Facial Composites With Diffusion Models"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3463-7670","authenticated-orcid":false,"given":"Darian","family":"Toma\u0161evi\u0107","sequence":"first","affiliation":[{"name":"Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9744-4035","authenticated-orcid":false,"given":"Peter","family":"Peer","sequence":"additional","affiliation":[{"name":"Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3385-5780","authenticated-orcid":false,"given":"Vitomir","family":"\u0160truc","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8733-3659","authenticated-orcid":false,"given":"Matej","family":"Mio\u010di\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-60761-832-4"},{"key":"ref2","volume-title":"Forensic Art Essentials: A Manual for Law Enforcement Artists","author":"Gibson","year":"2010"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2019.01962"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-13021-2_8"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1389095.1389384"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1080\/00140137808931726"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/10683169708410815"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2017.08.1987"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.105.3.482"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1008722.1008725"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606795"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-77583-8_18"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i03.5637"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3725891"},{"key":"ref15","first-page":"1","article-title":"Generative adversarial nets","volume-title":"Proc. NeurIPS","volume":"27","author":"Goodfellow"},{"key":"ref16","first-page":"1","article-title":"Progressive growing of GANs for improved quality, stability, and variation","volume-title":"Proc. ICLR","author":"Karras"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref18","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. NeurIPS","author":"Ho"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref20","first-page":"1","article-title":"SDXL: Improving latent diffusion models for high-resolution image synthesis","volume-title":"Proc. ICLR","author":"Podell"},{"key":"ref21","first-page":"12606","article-title":"Scaling rectified flowtransformers for high-resolution image synthesis","volume-title":"Proc. ICML","author":"Esser"},{"key":"ref22","article-title":"FLUX.1 kontext: Flow matching for in-context image generation and editing in latent space","author":"Labs","year":"2025","journal-title":"arXiv:2506.15742"},{"key":"ref23","first-page":"8780","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. NeurIPS","author":"Dhariwal"},{"key":"ref24","first-page":"1","article-title":"Denoising diffusion implicit models","volume-title":"Proc. ICLR","author":"Song"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1926"},{"key":"ref26","article-title":"DPM-Solver++: Fast solver for guided sampling of diffusion probabilistic models","author":"Lu","year":"2022","journal-title":"arXiv:2211.01095"},{"key":"ref27","article-title":"Latent consistency models: Synthesizing high-resolution images with few-step inference","author":"Luo","year":"2023","journal-title":"arXiv:2310.04378"},{"key":"ref28","article-title":"SDXL-lightning: Progressive adversarial diffusion distillation","author":"Lin","year":"2024","journal-title":"arXiv:2402.13929"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73016-0_6"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01117"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01767"},{"key":"ref32","article-title":"LightningDrag: Lightning fast and accurate drag-based image editing emerging from videos","author":"Shi","year":"2024","journal-title":"arXiv:2405.13722"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_20"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.241"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref36","first-page":"1","article-title":"Auto-encoding variational Bayes","volume-title":"Proc. ICLR","author":"Kingma"},{"key":"ref37","first-page":"1","article-title":"Progressive distillation for fast sampling of diffusion models","volume-title":"Proc. ICLR","author":"Salimans"},{"issue":"2","key":"ref38","first-page":"3","article-title":"LoRa: Low-rank adaptation of large language models","volume-title":"Proc. ICLR","volume":"1","author":"Hu"},{"key":"ref39","article-title":"LCM-LoRA:A universal stable-diffusion acceleration module","author":"Luo","year":"2023","journal-title":"arXiv:2311.05556"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref41","first-page":"2835","article-title":"Classifier-free diffusion guidance","volume-title":"Proc. NeurIPS","author":"Ho"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref43","article-title":"IP-adapter: Text compatible image prompt adapter for text-to-image diffusion models","author":"Ye","year":"2023","journal-title":"arXiv:2308.06721"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1833"},{"key":"ref45","author":"Guan","year":"2018","journal-title":"Generating Custom Photo-Realistic Faces Using AI"},{"key":"ref46","article-title":"UP-FacE: User-predictable finegrained face shape editing","author":"Strohm","year":"2024","journal-title":"arXiv:2403.13972"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1048"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0859"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591500"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00844"},{"key":"ref51","first-page":"1","article-title":"DragonDiffusion: Enabling drag-style manipulation on diffusion models","volume-title":"Proc. ICLR","author":"Mou"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1037\/0021-9010.65.3.307"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref54","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. ICML","author":"Radford"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00276"},{"key":"ref56","first-page":"1","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. NeurIPS","volume":"32","author":"Paszke"},{"key":"ref57","author":"von Platen","year":"2022","journal-title":"Diffusers: State-of-the-Art Diffusion Models"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00559"},{"key":"ref60","article-title":"Gradio: Hassle-free sharing and testing of ML models in the wild","author":"Abid","year":"2019","journal-title":"arXiv:1906.02569"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00889"},{"key":"ref63","first-page":"6629","article-title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","volume-title":"Proc. NeurIPS","author":"Heusel"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TBIOM.2024.3376236"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.595"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72673-6_20"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.00288"},{"key":"ref68","first-page":"9912","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","volume-title":"Proc. NeurIPS","volume":"33","author":"Caron"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1037\/1076-8971.7.4.791"},{"key":"ref71","first-page":"1","article-title":"Unveiling synthetic faces: How synthetic datasets can expose real identities","volume-title":"Proc. AdvML","author":"Shahreza"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1214\/088342304000000396"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11426945.pdf?arnumber=11426945","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T20:09:29Z","timestamp":1774296569000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11426945\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":72,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3672229","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}