{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T22:21:47Z","timestamp":1780957307642,"version":"3.54.1"},"reference-count":46,"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"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["2144194,2403297,IIS 1652052,IIS 1703166"],"award-info":[{"award-number":["2144194,2403297,IIS 1652052,IIS 1703166"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000185","name":"DARPA","doi-asserted-by":"publisher","award":["N66001-19-2-4031,W911NF-15-1-0543"],"award-info":[{"award-number":["N66001-19-2-4031,W911NF-15-1-0543"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017005","name":"Allen Institute for Artificial Intelligence","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100017005","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006785","name":"Google","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006785","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017567","name":"Apple","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100017567","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iccv51701.2025.00118","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"1185-1194","source":"Crossref","is-referenced-by-count":1,"title":["Contrastive Flow Matching"],"prefix":"10.1109","author":[{"given":"George","family":"Stoica","sequence":"first","affiliation":[{"name":"Georgia Tech"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vivek","family":"Ramanujan","sequence":"additional","affiliation":[{"name":"University of Washington"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Fan","sequence":"additional","affiliation":[{"name":"University of Washington"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali","family":"Farhadi","sequence":"additional","affiliation":[{"name":"University of Washington"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ranjay","family":"Krishna","sequence":"additional","affiliation":[{"name":"University of Washington"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Judy","family":"Hoffman","sequence":"additional","affiliation":[{"name":"Georgia Tech"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Building normalizing flows with stochastic interpolants","author":"Albergo","year":"2022","journal-title":"arXiv preprint"},{"key":"ref2","article-title":"Stochastic interpolants: A unifying framework for flows and diffusions","author":"Albergo","year":"2023","journal-title":"arXiv preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02171"},{"key":"ref4","volume-title":"Tripletgan: Training generative model with triplet loss","author":"Cao","year":"2017"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"ref6","article-title":"Neural ordinary differential equations","author":"Chen","year":"2018","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref7","article-title":"A simple framework for contrastive learning of visual representations","author":"Chen","year":"2020","journal-title":"ICLR"},{"key":"ref8","article-title":"Diffusion posterior sampling for general noisy inverse problems","author":"Chung","year":"2022","journal-title":"arXiv preprint"},{"key":"ref9","article-title":"Cfg++: Manifold-constrained classifier free guidance for diffusion models","author":"Chung","year":"2024","journal-title":"arXiv preprint"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73668-1_12"},{"key":"ref12","first-page":"8780","article-title":"Diffusion models beat gans on image synthesis","volume":"34","author":"Dhariwal","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref13","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2021","journal-title":"ICLR"},{"key":"ref14","article-title":"Scaling rectified flow transformers for high-resolution image synthesis","author":"Esser","year":"2024","journal-title":"ICML"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref16","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":"ref17","article-title":"Classifier-free diffusion guidance","author":"Ho","year":"2022","journal-title":"arXiv preprint arXiv"},{"key":"ref18","volume-title":"Classifier-free diffusion guidance","author":"Ho","year":"2022"},{"key":"ref19","article-title":"Denoising diffusion probabilistic models","author":"Ho","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref20","article-title":"Guiding a diffusion model with a bad version of itself","author":"Karras","year":"2024","journal-title":"arXiv preprint arXiv"},{"key":"ref21","article-title":"Dynamic negative guidance of diffusion models: Towards immediate content removal","author":"Koulischer","journal-title":"Neurips Safe Generative AI Workshop 2024"},{"key":"ref22","article-title":"Improved precision and recall metric for assessing generative models","author":"Kynk\u00e4\u00e4nniemi","year":"2019","journal-title":"NeurIPS"},{"key":"ref23","article-title":"Applying guidance in a limited interval improves sample and distribution quality in diffusion models","author":"Kynk\u00e4\u00e4nniemi","year":"2024","journal-title":"arXiv preprint arXiv"},{"key":"ref24","article-title":"Flow matching for generative modeling","author":"Lipman","year":"2023","journal-title":"ICLR"},{"key":"ref25","article-title":"Flow matching for generative modeling","author":"Lipman","year":"2023","journal-title":"ICLR"},{"key":"ref26","volume-title":"Flow straight and fast: Learning to generate and transfer data with rectified flow","author":"Liu","year":"2022"},{"key":"ref27","first-page":"22825","article-title":"Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning","volume-title":"International Conference on Machine Learning","author":"Lu"},{"key":"ref28","article-title":"Latent consistency models: Synthesizing highresolution images with few-step inference","author":"Luo","year":"2023","journal-title":"arXiv preprint arXiv"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72980-5_2"},{"key":"ref30","article-title":"Generating images with sparse representations","author":"Nash","year":"2021","journal-title":"arXiv preprint arXiv"},{"key":"ref31","article-title":"DINOv2: Learning robust visual features without supervision","author":"Oquab","year":"2024","journal-title":"TMLR"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref34","article-title":"Progressive distillation for fast sampling of diffusion models","author":"Salimans","year":"2022","journal-title":"arXiv preprint arXiv"},{"key":"ref35","article-title":"Improved techniques for training gans","volume":"29","author":"Salimans","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1238"},{"key":"ref38","article-title":"Gradient-free classifier guidance for diffusion model sampling","author":"Shenoy","year":"2024","journal-title":"arXiv preprint arXiv"},{"key":"ref39","article-title":"Denoising diffusion implicit models","volume-title":"International Conference on Learning Representations","author":"Song"},{"key":"ref40","first-page":"32483","article-title":"Loss-guided diffusion models for plug-and-play controllable generation","volume-title":"International Conference on Machine Learning","author":"Song"},{"key":"ref41","volume-title":"Score-based generative modeling in latent space","author":"Vahdat","year":"2021"},{"key":"ref42","article-title":"Im-proved distribution matching distillation for fast image synthesis","author":"Yin","year":"2024","journal-title":"arXiv preprint arXiv"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00632"},{"key":"ref44","volume-title":"Representation alignment for generation: Training diffusion transformers is easier than you think","author":"Yu","year":"2024"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0261"},{"key":"ref46","article-title":"Long and short guidance in score identity distillation for one-step text-to-image generation","author":"Zhou","year":"2024","journal-title":"arXiv preprint arXiv"}],"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\/11443489.pdf?arnumber=11443489","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T06:35:10Z","timestamp":1777530910000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11443489\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.00118","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}