{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T08:28:59Z","timestamp":1765268939379,"version":"3.40.3"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2023YFC3305600"],"award-info":[{"award-number":["2023YFC3305600"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62132016"],"award-info":[{"award-number":["62132016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/tcsvt.2024.3382733","type":"journal-article","created":{"date-parts":[[2024,3,28]],"date-time":"2024-03-28T19:09:52Z","timestamp":1711652992000},"page":"3013-3023","source":"Crossref","is-referenced-by-count":2,"title":["Few-Shot Generative Model Adaption via Optimal Kernel Modulation"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7000-3539","authenticated-orcid":false,"given":"Ziqi","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7239-1328","authenticated-orcid":false,"given":"Siduo","family":"Pan","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7228-5322","authenticated-orcid":false,"given":"Kun","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiapeng","family":"Ji","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0405-6816","authenticated-orcid":false,"given":"Xu","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2620-3247","authenticated-orcid":false,"given":"Cheng","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/ICCV.2019.00453"},{"key":"ref2","first-page":"14632","article-title":"Revisit multimodal meta-learning through the lens of multi-task learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Abdollahzadeh"},{"key":"ref3","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Arjovsky"},{"key":"ref4","first-page":"670","article-title":"Few-shot generative modelling with generative matching networks","volume-title":"Proc. Int. Conf. Artif. Int. Statist.","author":"Bartunov"},{"key":"ref5","article-title":"Large scale GAN training for high fidelity natural image synthesis","author":"Brock","year":"2018","journal-title":"arXiv:1809.11096"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/CVPR42600.2020.00821"},{"key":"ref7","article-title":"FIGR: Few-shot image generation with reptile","author":"Clou\u00e2tre","year":"2019","journal-title":"arXiv:1901.02199"},{"key":"ref8","first-page":"3730","article-title":"Joint distribution optimal transportation for domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Courty"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/TCSVT.2022.3188169"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.5555\/2969033.2969125"},{"key":"ref11","first-page":"6626","article-title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Heusel"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref13","first-page":"12104","article-title":"Training generative adversarial networks with limited data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Karras"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/CVPR.2019.00453"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref16","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/CVPR.2019.01029"},{"key":"ref18","first-page":"957","article-title":"From word embeddings to document distances","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kusner"},{"key":"ref19","article-title":"Few-shot image generation with elastic weight consolidation","author":"Li","year":"2020","journal-title":"arXiv:2012.02780"},{"key":"ref20","first-page":"1","article-title":"Towards faster and stabilized GAN training for high-fidelity few-shot image synthesis","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Liu"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/CVPR42600.2020.00452"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1016\/j.jmp.2017.05.006"},{"key":"ref23","article-title":"Freeze the discriminator: A simple baseline for fine-tuning GANs","author":"Mo","year":"2020","journal-title":"arXiv:2002.10964"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/ICCV.2019.00284"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1109\/CVPR46437.2021.01060"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/CVPR46437.2021.00232"},{"key":"ref27","first-page":"2226","article-title":"Improved techniques for training GANs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Salimans"},{"key":"ref28","article-title":"Improving GANs using optimal transport","author":"Salimans","year":"2018","journal-title":"arXiv:1803.05573"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1109\/ICCV51070.2023.01043"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1007\/978-3-030-58598-3_33"},{"key":"ref31","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1109\/TCSVT.2020.3005311"},{"issue":"4","key":"ref33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3450626.3459838","article-title":"Designing an encoder for StyleGAN image manipulation","volume":"40","author":"Tov","year":"2021","journal-title":"ACM Trans. Graph."},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1109\/TIP.2021.3049346"},{"key":"ref35","article-title":"Optimal transport for causal discovery","author":"Tu","year":"2022","journal-title":"arXiv:2201.09366"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1007\/978-3-540-71050-9"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1109\/WACV45572.2020.9093389"},{"key":"ref38","first-page":"4692","article-title":"High-fidelity pluralistic image completion with transformers","volume-title":"Proc. IEEE\/CVF Int. Conf. Comput. Vis.","author":"Wan"},{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1109\/TPAMI.2008.222"},{"doi-asserted-by":"publisher","key":"ref40","DOI":"10.1109\/CVPR42600.2020.00935"},{"doi-asserted-by":"publisher","key":"ref41","DOI":"10.1007\/978-3-030-01231-1_14"},{"doi-asserted-by":"publisher","key":"ref42","DOI":"10.1109\/ICCV48922.2021.01411"},{"doi-asserted-by":"publisher","key":"ref43","DOI":"10.1109\/CVPR52688.2022.01092"},{"key":"ref44","article-title":"Vocabulary learning via optimal transport for neural machine translation","author":"Xu","year":"2020","journal-title":"arXiv:2012.15671"},{"doi-asserted-by":"publisher","key":"ref45","DOI":"10.1145\/3306346.3322984"},{"key":"ref46","article-title":"LSUN: Construction of a large-scale image dataset using deep learning with humans in the loop","author":"Yu","year":"2015","journal-title":"arXiv:1506.03365"},{"doi-asserted-by":"publisher","key":"ref47","DOI":"10.1109\/ICCV48922.2021.01385"},{"doi-asserted-by":"publisher","key":"ref48","DOI":"10.1109\/CVPR46437.2021.01478"},{"doi-asserted-by":"publisher","key":"ref49","DOI":"10.1109\/CVPR52688.2022.01774"},{"key":"ref50","article-title":"Consistency regularization for generative adversarial networks","author":"Zhang","year":"2019","journal-title":"arXiv:1910.12027"},{"doi-asserted-by":"publisher","key":"ref51","DOI":"10.1109\/TCSVT.2021.3131738"},{"doi-asserted-by":"publisher","key":"ref52","DOI":"10.1109\/TCSVT.2022.3170588"},{"doi-asserted-by":"publisher","key":"ref53","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref54","first-page":"7559","article-title":"Differentiable augmentation for data-efficient GAN training","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Zhao"},{"doi-asserted-by":"publisher","key":"ref55","DOI":"10.1109\/ICCV48922.2021.00974"},{"key":"ref56","first-page":"19427","article-title":"Few-shot image generation via adaptation-aware kernel modulation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Zhao"},{"doi-asserted-by":"publisher","key":"ref57","DOI":"10.1109\/CVPR52688.2022.00893"},{"doi-asserted-by":"publisher","key":"ref58","DOI":"10.1109\/CVPR52729.2023.00713"},{"key":"ref59","article-title":"Image augmentations for GAN training","author":"Zhao","year":"2020","journal-title":"arXiv:2006.02595"},{"doi-asserted-by":"publisher","key":"ref60","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/10949577\/10483074.pdf?arnumber=10483074","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T04:50:46Z","timestamp":1743828646000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10483074\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":60,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2024.3382733","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"type":"print","value":"1051-8215"},{"type":"electronic","value":"1558-2205"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}