{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T19:21:37Z","timestamp":1768072897974,"version":"3.49.0"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Amazon Research Award"},{"name":"NSF","award":["IIS-2339769"],"award-info":[{"award-number":["IIS-2339769"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tpami.2024.3422820","type":"journal-article","created":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T17:30:36Z","timestamp":1720027836000},"page":"9493-9507","source":"Crossref","is-referenced-by-count":1,"title":["Spatial Steerability of GANs via Self-Supervision from Discriminator"],"prefix":"10.1109","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6467-4018","authenticated-orcid":false,"given":"Jianyuan","family":"Wang","sequence":"first","affiliation":[{"name":"University of Oxford, Oxford, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6140-1199","authenticated-orcid":false,"given":"Lalit","family":"Bhagat","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of California, Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1417-1938","authenticated-orcid":false,"given":"Ceyuan","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Chinese University of Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2696-9664","authenticated-orcid":false,"given":"Yinghao","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Chinese University of Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3801-6705","authenticated-orcid":false,"given":"Yujun","family":"Shen","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4125-1554","authenticated-orcid":false,"given":"Hongdong","family":"Li","sequence":"additional","affiliation":[{"name":"College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4030-0684","authenticated-orcid":false,"given":"Bolei","family":"Zhou","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of California, Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref2","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Radford"},{"key":"ref3","first-page":"9256","article-title":"Large scale GAN training for high fidelity natural image synthesis","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Brock"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00926"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01429-5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00158"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00584"},{"key":"ref10","first-page":"9786","article-title":"Unsupervised discovery of interpretable directions in the GAN latent space","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Voynov"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01429-5"},{"key":"ref12","first-page":"9841","article-title":"Ganspace: Discovering interpretable GAN controls","volume-title":"Proc. Adv. Neural Inform. Process. Syst.","author":"H\u00e4rk\u00f6nen"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01100"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591500"},{"key":"ref16","first-page":"1486","article-title":"Deep generative image models using a Laplacian pyramid of adversarial networks","volume-title":"Proc. Adv. Neural Inform. Process. Syst.","author":"Denton"},{"key":"ref17","first-page":"213","article-title":"Progressive growing of GANs for improved quality, stability, and variation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Karras"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.05957"},{"key":"ref19","first-page":"7354","article-title":"Self-attention generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhang"},{"key":"ref20","first-page":"10542","article-title":"Large scale adversarial representation learning","volume-title":"Proc. Adv. Neural Inform. Process. Syst.","author":"Donahue"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00823"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01129"},{"key":"ref23","first-page":"27517","article-title":"Instance-conditioned GAN","volume-title":"Proc. Adv. Neural Inform. Process. Syst.","author":"Casanova"},{"key":"ref24","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ho"},{"key":"ref25","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sohl-Dickstein"},{"key":"ref26","first-page":"11918","article-title":"Generative modeling by estimating gradients of the data distribution","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Song"},{"key":"ref27","article-title":"Score-based generative modeling through stochastic differential equations","author":"Song","year":"2020"},{"key":"ref28","article-title":"Glide: Towards photorealistic image generation and editing with text-guided diffusion models","author":"Nichol","year":"2021"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00582"},{"key":"ref30","article-title":"Diffusion model-based image editing: A survey","author":"Huang","year":"2024"},{"key":"ref31","first-page":"4006","article-title":"Controlling generative models with continuous factors of variations","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Plumerault"},{"key":"ref32","first-page":"6879","article-title":"On the \u201dsteerability\u201d of generative adversarial networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Jahanian"},{"key":"ref33","first-page":"27612","article-title":"Region-based semantic factorization in GANs","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhu"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19784-0_36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref36","first-page":"315","article-title":"Deep sparse rectifier neural networks","volume-title":"Proc. 14th Int. Conf. Artif. Intell. Statist.","author":"Glorot"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00244"},{"key":"ref39","article-title":"LSUN: Construction of a large-scale image dataset using deep learning with humans in the loop","author":"Yu","year":"2015"},{"key":"ref41","first-page":"12 104","article-title":"Training generative adversarial networks with limited data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Karras"},{"key":"ref42","first-page":"6629","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"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref44","article-title":"Multi-scale context aggregation by dilated convolutions","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Yu"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3181070"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/34\/10746266\/10584145-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/34\/10746266\/10584145.pdf?arnumber=10584145","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:30:55Z","timestamp":1732667455000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10584145\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":44,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2024.3422820","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}