{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T00:15:16Z","timestamp":1783037716476,"version":"3.54.6"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61876107"],"award-info":[{"award-number":["61876107"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1109\/tcyb.2022.3166761","type":"journal-article","created":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T19:48:28Z","timestamp":1651866508000},"page":"874-886","source":"Crossref","is-referenced-by-count":19,"title":["GEN: Generative Equivariant Networks for Diverse Image-to-Image Translation"],"prefix":"10.1109","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0263-1661","authenticated-orcid":false,"given":"Pourya","family":"Shamsolmoali","sequence":"first","affiliation":[{"name":"School of Communication and Electronic Engineering, East China Normal University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3991-0584","authenticated-orcid":false,"given":"Masoumeh","family":"Zareapoor","sequence":"additional","affiliation":[{"name":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6843-4508","authenticated-orcid":false,"given":"Swagatam","family":"Das","sequence":"additional","affiliation":[{"name":"Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4494-7565","authenticated-orcid":false,"given":"Salvador","family":"Garcia","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6116-7945","authenticated-orcid":false,"given":"Eric","family":"Granger","sequence":"additional","affiliation":[{"name":"Department of Systems Engineering, École de technologie supérieure, Université du Québec, Quebec City, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4801-7162","authenticated-orcid":false,"given":"Jie","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref2","first-page":"3693","article-title":"Unsupervised attention-guided image-to-image translation","volume-title":"Advances in Neural Information Processing Systems","author":"Mejjati","year":"2018"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref4","first-page":"1","article-title":"Semantic segmentation using adversarial networks","volume-title":"Proc. Adv. Neural Inform. Process. Syst. Workshop","author":"Luc"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3439723"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.02.014"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00410"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00012"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_3"},{"key":"ref12","article-title":"DeepI2I: Enabling deep hierarchical image-to-image translation by transferring from GANs","author":"Wang","year":"2020","journal-title":"arXiv:2011.05867"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21735-7_6"},{"key":"ref14","first-page":"3856","article-title":"Dynamic routing between capsules","volume-title":"Advances in Neural Information Processing Systems","author":"Sabour"},{"key":"ref15","first-page":"1","article-title":"Image synthesis with a convolutional capsule generative adversarial network","volume-title":"Proc. Mach. Learn. Res.","author":"Bass"},{"key":"ref16","article-title":"NIPS 2016 tutorial: Generative adversarial networks","author":"Goodfellow","year":"2016","journal-title":"arXiv:1701.00160"},{"key":"ref17","article-title":"Gaussian mixture generative adversarial networks for diverse datasets, and the unsupervised clustering of images","author":"Ben-Yosef","year":"2018","journal-title":"arXiv:1808.10356"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3035066"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3016086"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/BigMM.2018.8499439"},{"key":"ref21","first-page":"465","article-title":"Toward multimodal image-to-image translation","volume-title":"Advances in Neural Information Processing Systems","author":"Zhu","year":"2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00821"},{"key":"ref24","first-page":"3071","article-title":"Ladder capsule network","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Jeong"},{"key":"ref25","article-title":"Investigating capsule networks with dynamic routing for text classification","author":"Zhao","year":"2018","journal-title":"arXiv:1804.00538"},{"key":"ref26","first-page":"1","article-title":"Capsules for object segmentation","volume-title":"Proc. Conf. Med. Imag. Deep Learn.","author":"LaLonde"},{"key":"ref27","first-page":"8844","article-title":"Group equivariant capsule networks","volume-title":"Advances in Neural Information Processing Systems","author":"Lenssen","year":"2018"},{"key":"ref28","first-page":"5814","article-title":"CapProNet: Deep feature learning via orthogonal projections onto capsule subspaces","volume-title":"Advances in Neural Information Processing Systems","author":"Zhang","year":"2018"},{"key":"ref29","article-title":"Generative adversarial network architectures for image synthesis using capsule networks","author":"Upadhyay","year":"2018","journal-title":"arXiv:1806.03796"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6703"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11015-4_38"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01615"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780198510581.001.0001"},{"issue":"2","key":"ref34","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1023\/A:1019150005407","article-title":"Stable iterations for the matrix square root","volume":"15","author":"Higham","year":"1997","journal-title":"Numer. Algorithms"},{"key":"ref35","first-page":"8469","article-title":"The impact of neural network overparameterization on gradient confusion and stochastic gradient descent","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sankararaman"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3115\/1603899.1603924"},{"key":"ref37","article-title":"Demystifying inter-class disentanglement","author":"Gabbay","year":"2019","journal-title":"arXiv:1906.11796"},{"key":"ref38","first-page":"1","article-title":"Learning generative models across incomparable spaces","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Bunne"},{"key":"ref39","first-page":"2664","article-title":"Gromov-Wasserstein averaging of kernel and distance matrices","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Peyr\u00e9"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2009.5457690"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s10208-011-9093-5"},{"key":"ref42","first-page":"3052","article-title":"Scalable Gromov-Wasserstein learning for graph partitioning and matching","volume-title":"Advances in Neural Information Processing Systems","author":"Xu","year":"2019"},{"key":"ref43","first-page":"6932","article-title":"Gromov-Wasserstein learning for graph matching and node embedding","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xu"},{"key":"ref44","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-71050-9","volume-title":"Optimal Transport: Old and New","volume":"338","author":"Villani","year":"2009"},{"key":"ref45","first-page":"1","article-title":"A fast proximal point method for computing exact Wasserstein distance","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xie"},{"key":"ref46","first-page":"1","article-title":"Improving GANs using optimal transport","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Salimans"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref48","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref49","volume-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref51","first-page":"1","article-title":"Progressive growing of GANs for improved quality, stability, and variation","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Karras"},{"key":"ref52","first-page":"1","article-title":"Reading digits in natural images with unsupervised feature learning","volume-title":"Proc. NIPS","author":"Netzer"},{"key":"ref53","first-page":"1","article-title":"Discriminator rejection sampling","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Azadi"},{"key":"ref54","first-page":"6626","article-title":"GANs trained by a two time-scale update rule converge to a local nash equilibrium","volume-title":"Advances in Neural Information Processing Systems","author":"Heusel","year":"2017"},{"key":"ref55","article-title":"Demystifying mmd GANs","author":"Bi\u0144kowski","year":"2018","journal-title":"arXiv:1801.01401"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref57","first-page":"2234","article-title":"Improved techniques for training GANs","volume-title":"Advances in Neural Information Processing Systems","author":"Salimans","year":"2016"},{"key":"ref58","first-page":"5767","article-title":"Improved training of wasserstein GANs","volume-title":"Advances in Neural Information Processing Systems","author":"Gulrajani","year":"2017"},{"key":"ref59","first-page":"901","article-title":"Weight normalization: A simple reparameterization to accelerate training of deep neural networks","volume-title":"Advances in Neural Information Processing Systems","author":"Salimans","year":"2016"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/10016773\/09770477.pdf?arnumber=9770477","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T22:32:51Z","timestamp":1705962771000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9770477\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2]]},"references-count":61,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2022.3166761","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2]]}}}