{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T14:53:53Z","timestamp":1776956033757,"version":"3.51.4"},"reference-count":17,"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\/501100003816","name":"Huawei Technologies Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003816","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Areas Inf. Theory"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/jsait.2024.3509420","type":"journal-article","created":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T14:01:13Z","timestamp":1732888873000},"page":"1-17","source":"Crossref","is-referenced-by-count":9,"title":["Rate-Distortion-Perception Tradeoff for Gaussian Vector Sources"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1373-0044","authenticated-orcid":false,"given":"Jingjing","family":"Qian","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1227-3797","authenticated-orcid":false,"given":"Sadaf","family":"Salehkalaibar","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8084-9332","authenticated-orcid":false,"given":"Jun","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2331-8965","authenticated-orcid":false,"given":"Ashish","family":"Khisti","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7453-422X","authenticated-orcid":false,"given":"Wei","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wuxian","family":"Shi","sequence":"additional","affiliation":[{"name":"Ottawa Research Center, Huawei Technologies, Ottawa, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiqun","family":"Ge","sequence":"additional","affiliation":[{"name":"Ottawa Research Center, Huawei Technologies, Ottawa, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen","family":"Tong","sequence":"additional","affiliation":[{"name":"Ottawa Research Center, Huawei Technologies, Ottawa, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00031"},{"key":"ref2","first-page":"1","article-title":"End-to-end optimized image compression","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Ball\u00e9"},{"key":"ref3","first-page":"1","article-title":"Lossy image compression with compressive autoencoders","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Theis"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00462"},{"key":"ref5","first-page":"675","article-title":"Rethinking lossy compression: The rate-distortion-perception tradeoff","volume-title":"Proc. ACM Int. Conf. Mach. Learn. (ICML)","author":"Blau"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2015.2450721"},{"key":"ref7","first-page":"1","article-title":"A coding theorem for the rate-distortion-perception function","volume-title":"Proc. Neural Compress. Workshop Int. Conf. Learn. Represent. (ICLR)","author":"Theis"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2018.2865570"},{"key":"ref9","first-page":"11517","article-title":"Universal rate-distortion-perception representations for lossy compression","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Zhang"},{"key":"ref10","article-title":"The rate-distortion-perception tradeoff: The role of common randomness","author":"Wagner","year":"2022","journal-title":"arXiv:2202.04147"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2022.3231820"},{"key":"ref12","first-page":"25661","article-title":"A theory of the distortion-perception tradeoff in Wasserstein space","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"34","author":"Freirich"},{"key":"ref13","first-page":"11682","article-title":"On perceptual lossy compression: The cost of perceptual reconstruction and an optimal training framework","volume-title":"Proc. ACM Int. Conf. Mach. Learn. (ICML)","author":"Yan"},{"key":"ref14","first-page":"1","article-title":"Lossy compression with distribution shift as entropy constrained optimal transport","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Liu"},{"key":"ref15","first-page":"1","article-title":"On the choice of perception loss function for learned video compression","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Salehkalaibar"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/047174882x"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2015.2412540"}],"container-title":["IEEE Journal on Selected Areas in Information Theory"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8700143\/10852562\/10771799.pdf?arnumber=10771799","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T18:34:07Z","timestamp":1767810847000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10771799\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/jsait.2024.3509420","relation":{},"ISSN":["2641-8770"],"issn-type":[{"value":"2641-8770","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}