{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T17:29:24Z","timestamp":1778088564082,"version":"3.51.4"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":["62450131"],"award-info":[{"award-number":["62450131"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62206011"],"award-info":[{"award-number":["62206011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62231002"],"award-info":[{"award-number":["62231002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62372024"],"award-info":[{"award-number":["62372024"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Natural Science Foundation","award":["L223021"],"award-info":[{"award-number":["L223021"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tip.2025.3578257","type":"journal-article","created":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T19:02:30Z","timestamp":1750100550000},"page":"3833-3848","source":"Crossref","is-referenced-by-count":3,"title":["Spherical Patch Generative Adversarial Net for Unconditional Panoramic Image Generation"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0277-3301","authenticated-orcid":false,"given":"Mai","family":"Xu","sequence":"first","affiliation":[{"name":"Electronic and Information Engineering Department, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5264-8439","authenticated-orcid":false,"given":"Xiancheng","family":"Sun","sequence":"additional","affiliation":[{"name":"Electronic and Information Engineering Department, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4979-9290","authenticated-orcid":false,"given":"Shengxi","family":"Li","sequence":"additional","affiliation":[{"name":"Electronic and Information Engineering Department and the State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4639-8136","authenticated-orcid":false,"given":"Lai","family":"Jiang","sequence":"additional","affiliation":[{"name":"Electronic and Information Engineering Department, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4329-0354","authenticated-orcid":false,"given":"Jingyuan","family":"Xia","sequence":"additional","affiliation":[{"name":"Department of Electronic Science and Technology, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4708-6572","authenticated-orcid":false,"given":"Xin","family":"Deng","sequence":"additional","affiliation":[{"name":"Electronic and Information Engineering Department, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Deep learning for omnidirectional vision: A survey and new perspectives","author":"Ai","year":"2022","journal-title":"arXiv:2205.10468"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref4","first-page":"10215","article-title":"Glow: Generative flow with invertible 1\u00d71 convolutions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Kingma"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2024.3506859"},{"key":"ref6","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. NIPS","volume":"33","author":"Ho"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3157444"},{"key":"ref9","volume-title":"Algorithm Descriptions of Projection Format Conversion and Video Quality Metrics in 360LIB","author":"Ye","year":"2018"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446469"},{"key":"ref11","first-page":"1","article-title":"InfinityGAN: Towards infinite-pixel image synthesis","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Lin"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2024.3372085"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093582"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2020.3011854"},{"key":"ref15","first-page":"1","article-title":"Panodiffusion: 360-degree panorama outpainting via diffusion","volume-title":"Proc. 12th Int. Conf. Learn. Represent.","author":"Wu"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00413"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2968772"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3215933"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01115"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00660"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i6.28429"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00461"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01268"},{"key":"ref24","first-page":"21878","article-title":"PanoGen: Text-conditioned panoramic environment generation for vision-and-language navigation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Li"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00486"},{"key":"ref26","article-title":"Very deep VAEs generalize autoregressive models and can outperform them on images","author":"Child","year":"2020","journal-title":"arXiv:2011.10650"},{"key":"ref27","first-page":"6309","article-title":"Neural discrete representation learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Van Den Oord"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3214093"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref30","article-title":"Denoising diffusion implicit models","author":"Song","year":"2020","journal-title":"arXiv:2010.02502"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2106.12423"},{"key":"ref32","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2015","journal-title":"arXiv:1511.06434"},{"key":"ref33","article-title":"Large scale GAN training for high fidelity natural image synthesis","author":"Brock","year":"2018","journal-title":"arXiv:1809.11096"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3014608"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3104183"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00459"},{"key":"ref37","first-page":"4487","article-title":"Generative adversarial transformers","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hudson"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14755"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72986-7_20"},{"key":"ref40","first-page":"51202","article-title":"MVDiffusion: Enabling holistic multi-view image generation with correspondence-aware diffusion","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Tang"},{"key":"ref41","article-title":"Derivation of the euler-rodrigues formula for three-dimensional rotations from the general formula for four-dimensional rotations","author":"Mebius","year":"2007","journal-title":"arXiv:math\/0701759"},{"key":"ref42","article-title":"MultiDiffusion: Fusing diffusion paths for controlled image generation","author":"Bar-Tal","year":"2023","journal-title":"arXiv:2302.08113"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00982"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20050-2_11"},{"key":"ref45","article-title":"Manifold learning and applications to shape and image processing","author":"Thorstensen","year":"2009"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.5555\/3294771.3294822"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00967"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/167"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2967274"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_32"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3100259"},{"key":"ref52","article-title":"Spherical CNNs","author":"Cohen","year":"2018","journal-title":"arXiv:1801.10130"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3528233.3530724"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.na.2010.03.049"},{"key":"ref55","first-page":"9628","article-title":"An intriguing failing of convolutional neural networks and the CoordConv solution","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref57","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":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00081"},{"key":"ref59","volume-title":"Supplement of Subjective Evaluation Methodology on VR Video","author":"Liu","year":"2016"},{"key":"ref60","volume-title":"A Refined Subjective Evaluation Methodology on Panoramic Video and Test Report","author":"Li","year":"1067"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096750"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3232792"},{"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. Adv. Neural Inf. Process. Syst.","author":"Heusel"},{"key":"ref64","first-page":"2234","article-title":"Improved techniques for training gans","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Salimans"},{"key":"ref65","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10795784\/11037336.pdf?arnumber=11037336","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T04:33:32Z","timestamp":1750912412000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11037336\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":65,"URL":"https:\/\/doi.org\/10.1109\/tip.2025.3578257","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}