{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T16:00:55Z","timestamp":1774540855690,"version":"3.50.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":["62272341"],"award-info":[{"award-number":["62272341"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tip.2024.3404593","type":"journal-article","created":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T18:01:21Z","timestamp":1717092081000},"page":"3578-3589","source":"Crossref","is-referenced-by-count":4,"title":["Learning Compact Hyperbolic Representations of Latent Space for Old Photo Restoration"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8003-4643","authenticated-orcid":false,"given":"Rui","family":"Chen","sequence":"first","affiliation":[{"name":"Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Guo","sequence":"additional","affiliation":[{"name":"Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Mu","sequence":"additional","affiliation":[{"name":"Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, School of Microelectronics, Tianjin University, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Shen","sequence":"additional","affiliation":[{"name":"Beijing Institute of Remote Sensing Information, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.817231"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2005.860311"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3238317"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00408"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3111491"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00984"},{"key":"ref7","first-page":"1","article-title":"Zero-shot image restoration using denoising diffusion null-space model","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Wang"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3163183"},{"key":"ref9","first-page":"1","article-title":"Towards robust blind face restoration with codebook lookup transformer","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhou"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108349"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3192099"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00925"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00259"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00905"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00073"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475666"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00751"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00666"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3034267"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01417"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01113"},{"key":"ref23","first-page":"1","article-title":"GANSpace: Discovering interpretable GAN controls","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Harkonen"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01699"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00177"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01199"},{"key":"ref27","first-page":"1","article-title":"Rethinking the compositionality of point clouds through regularization in the hyperbolic space","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Montanaro"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02076"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3485132"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19797-0_8"},{"key":"ref31","first-page":"1","article-title":"DifFace: Blind face restoration with diffused error contraction","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Yue"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00958"},{"key":"ref33","first-page":"1","article-title":"PGDiff: Guiding diffusion models for versatile face restoration via partial guidance","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/icip46576.2022.9897211"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3215251"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00971"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3142527"},{"key":"ref38","first-page":"1","article-title":"Relative representations enable zero-shot latent space communication","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Moschella"},{"key":"ref39","first-page":"1","article-title":"InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00665"},{"key":"ref41","first-page":"1","article-title":"Region-based semantic factorization in GANs","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhu"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00012"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00022"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00045"},{"key":"ref45","first-page":"1","article-title":"Graph geometry interaction learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhu"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2021.3081431"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01228"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3136921"},{"key":"ref49","first-page":"1","article-title":"Modeling heterogeneous hierarchies with relation-specific hyperbolic cones","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Bai"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00661"},{"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","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref53","first-page":"6626","article-title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","volume-title":"Proc. NIPS","author":"Heusel"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11021-5_21"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10346232\/10542645.pdf?arnumber=10542645","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,8]],"date-time":"2024-06-08T05:18:30Z","timestamp":1717823910000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10542645\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/tip.2024.3404593","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}