{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:13:09Z","timestamp":1777889589115,"version":"3.51.4"},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.01252","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"13481-13490","source":"Crossref","is-referenced-by-count":0,"title":["Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework"],"prefix":"10.1109","author":[{"given":"Yi-Ting","family":"Chen","sequence":"first","affiliation":[{"name":"University of Maryland,College Park"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting-Hsuan","family":"Liao","sequence":"additional","affiliation":[{"name":"University of Maryland,College Park"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengsheng","family":"Guo","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Schwing","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia-Bin","family":"Huang","sequence":"additional","affiliation":[{"name":"University of Maryland,College Park"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Building normalizing flows with stochastic interpolants","author":"Albergo","year":"2023","journal-title":"Proc. ICLR"},{"key":"ref2","author":"Albergo","year":"2023","journal-title":"Stochastic Interpolants: A unifying framework for flows and diffusions"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.00566"},{"key":"ref4","author":"Bar-Tal","year":"2023","journal-title":"Multidiffusion: Fusing diffusion paths for controlled image generation"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00580"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00539"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00588"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00587"},{"key":"ref9","author":"Feng","year":"2024","journal-title":"Srgs: Super-resolution 3d gaussian splatting"},{"key":"ref10","article-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","volume":"30","author":"Heusel","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref11","article-title":"Denoising diffusion probabilistic models","author":"Ho","year":"2020","journal-title":"Proc. NeurIPS"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i4.32369"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3592433"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3592433"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01943"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02111"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref19","article-title":"Flow Matching for Generative Modeling","author":"Lipman","year":"2023","journal-title":"Proc. ICLR"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00560"},{"key":"ref21","article-title":"Flow straight and fast: Learning to generate and transfer data with rectified flow","author":"Liu","year":"2023","journal-title":"Proc. ICLR"},{"key":"ref22","author":"Liu","year":"2023","journal-title":"Syncdreamer: Generating multiview-consistent images from a single-view image"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322980"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73397-0_13"},{"key":"ref28","author":"Shi","year":"2023","journal-title":"Mvdream: Multi-view diffusion for 3d generation"},{"key":"ref29","article-title":"Denoising diffusion implicit models","author":"Song","year":"2021","journal-title":"Proc. ICLR"},{"key":"ref30","article-title":"ScoreBased Generative Modeling Through Stochastic Differential Equations","author":"Song","year":"2021","journal-title":"Proc. ICLR"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547808"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02168-7"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1809.00219"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00247"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00905"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00685"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52733.2024.02437"},{"key":"ref38","author":"Wang","year":"2022","journal-title":"4k-nerf: High fidelity neural radiance fields at ultra high resolutions"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.00205"},{"key":"ref40","author":"Yu","year":"2024","journal-title":"Gaussiansr: 3d gaussian super-resolution with 2d diffusion priors"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01839"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52733.2024.00245"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,25]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11443115\/11443287\/11444069.pdf?arnumber=11444069","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:13:36Z","timestamp":1777612416000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11444069\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.01252","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}