{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T00:57:27Z","timestamp":1759798647108,"version":"build-2065373602"},"reference-count":88,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62136001","62088102"],"award-info":[{"award-number":["62136001","62088102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Municipal Science &#x0026; Technology Commission, Administrative Commission of Zhongguancun Science Park","award":["Z241100003524012"],"award-info":[{"award-number":["Z241100003524012"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1109\/tpami.2025.3597936","type":"journal-article","created":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T17:43:12Z","timestamp":1754934192000},"page":"10406-10419","source":"Crossref","is-referenced-by-count":0,"title":["OpenCIR: Conditional Image Repainting With Open Condition Mixture"],"prefix":"10.1109","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0777-5055","authenticated-orcid":false,"given":"Shuchen","family":"Weng","sequence":"first","affiliation":[{"name":"Beijing Academy of Artificial Intelligence, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5028-2848","authenticated-orcid":false,"given":"Xiaocheng","family":"Gong","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8474-9580","authenticated-orcid":false,"given":"Haojie","family":"Zheng","sequence":"additional","affiliation":[{"name":"Beijing Academy of Artificial Intelligence, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinlong","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Academy of Artificial Intelligence, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9823-3870","authenticated-orcid":false,"given":"Si","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6749-0364","authenticated-orcid":false,"given":"Boxin","family":"Shi","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Multimedia Information Processing and National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"77174","article-title":"L-CAD: Language-based colorization with any-level descriptions using diffusion priors","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Chang"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00037"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20071-7_1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_40"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20059-5_41"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01753"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00992"},{"article-title":"EdgeConnect: Generative image inpainting with adversarial edge learning","volume-title":"Proc. IEEE Int. Conf. Comput. Vis. Workshops","author":"Nazeri","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3054477"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20071-7_9"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00457"},{"article-title":"An image is worth one word: Personalizing text-to-image generation using textual inversion","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Gal","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00192"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02155"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01461"},{"key":"ref17","first-page":"13753","article-title":"Composer: Creative and controllable image synthesis with composable conditions","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Huang"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i5.28226"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02148"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00706"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01108"},{"key":"ref23","first-page":"64468","article-title":"LuminAIRe: Illumination-aware conditional image repainting for lighting-realistic generation","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Tang"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_27"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00776"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3331275"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01842"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00799"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01104"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1603.08155"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00682"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20068-7_26"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00956"},{"key":"ref37","first-page":"9446","article-title":"Deep image prior","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Ulyanov"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01738"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00555"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00767"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00503"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58542-6_43"},{"article-title":"Demoireing of camera-captured screen images using deep convolutional neural network","year":"2018","author":"Liu","key":"ref43"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.168"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00856"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00582"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591513"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00842"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.299"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01049"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00577"},{"article-title":"Beta-VAE: Learning basic visual concepts with a constrained variational framework","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Higgins","key":"ref52"},{"article-title":"Auto-encoding variational bayes","year":"2013","author":"Kingma","key":"ref53"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"article-title":"Conditional generative adversarial nets","year":"2014","author":"Mirza","key":"ref55"},{"article-title":"Analyzing inverse problems with invertible neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Ardizzone","key":"ref56"},{"article-title":"Guided image generation with conditional invertible neural networks","year":"2019","author":"Ardizzone","key":"ref57"},{"key":"ref58","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Ho"},{"article-title":"Denoising diffusion implicit models","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Song","key":"ref59"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01773"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01117"},{"article-title":"SDEdit: Guided image synthesis and editing with stochastic differential equations","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Meng","key":"ref65"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref67","first-page":"19730","article-title":"BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li"},{"volume-title":"Digital Image Processing","year":"1987","author":"Gonzales","key":"ref68"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767851"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00507"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00776"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dosovitskiy","key":"ref73"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01772"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"Kingma","key":"ref75"},{"key":"ref76","first-page":"6626","article-title":"GANs trained by a two time-scale update rule converge to a nash equilibrium","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Heusel"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1049\/el:20080522"},{"key":"ref79","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Radford"},{"article-title":"SDXL: Improving latent diffusion models for high-resolution image synthesis","volume-title":"Proc. 12th Int. Conf. Learn. Representations","author":"Podell","key":"ref80"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01764"},{"key":"ref82","first-page":"11127","article-title":"Uni-ControlNet: All-in-one control to text-to-image diffusion models","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Zhao"},{"article-title":"The caltech-ucsd birds-200-2011 dataset","year":"2011","author":"Wah","key":"ref83"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00132"},{"article-title":"Classifier-free diffusion guidance","volume-title":"Proc. NeurIPS 2021 Workshop Deep Generative Models Downstream Appl.","author":"Ho","key":"ref85"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20170"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1145\/3550454.3555471"},{"article-title":"LoRA: Low-rank adaptation of large language models","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Hu","key":"ref88"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/34\/11192800\/11122618.pdf?arnumber=11122618","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T17:36:54Z","timestamp":1759772214000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11122618\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":88,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2025.3597936","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"type":"print","value":"0162-8828"},{"type":"electronic","value":"2160-9292"},{"type":"electronic","value":"1939-3539"}],"subject":[],"published":{"date-parts":[[2025,11]]}}}