{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T02:35:34Z","timestamp":1783046134583,"version":"3.54.6"},"reference-count":53,"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\/100018928","name":"WestLake University","doi-asserted-by":"publisher","award":["RIE2025"],"award-info":[{"award-number":["RIE2025"]}],"id":[{"id":"10.13039\/100018928","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\/iccv51701.2025.01818","type":"proceedings-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:45:49Z","timestamp":1777491949000},"page":"19557-19566","source":"Crossref","is-referenced-by-count":1,"title":["Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models"],"prefix":"10.1109","author":[{"given":"Beier","family":"Zhu","sequence":"first","affiliation":[{"name":"Nanyang Technological University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruoyu","family":"Wang","sequence":"additional","affiliation":[{"name":"Westlake University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Westlake University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanwang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nanyang Technological University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Westlake University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Tract: Denoising diffusion models with transitive closure time-distillation","author":"Berthelot","year":"2023","journal-title":"arXiv preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02161"},{"key":"ref3","article-title":"On the trajectory regularity of ode-based diffusion sampling","volume-title":"ICML","author":"Chen","year":"2024"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3015"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2186"},{"key":"ref6","article-title":"Generative adversarial nets","volume-title":"NeurIPS","author":"Goodfellow","year":"2014"},{"key":"ref7","article-title":"Denoising diffusion probabilistic models","volume-title":"NeurIPS","author":"Ho","year":"2020"},{"key":"ref8","article-title":"Video diffusion models","volume-title":"NeurIPS","author":"Ho","year":"2022"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref10","article-title":"Elucidating the design space of diffusion-based generative models","volume-title":"NeurIPS","author":"Karras","year":"2022"},{"key":"ref11","article-title":"Consistency trajectory models: Learning probability flow ode trajectory of diffusion","volume-title":"ICLR","author":"Kim","year":"2024"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00899"},{"key":"ref13","volume-title":"Auto-encoding variational bayes","author":"Kingma","year":"2013"},{"key":"ref14","article-title":"Diffwave: A versatile diffusion model for audio synthesis","volume-title":"ICLR","author":"Kong","year":"2021"},{"key":"ref15","article-title":"Learning multiple layers of features from tiny images","volume-title":"Technical Report","author":"Krizhevsky","year":"2009"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.02183"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00686"},{"key":"ref18","article-title":"Alleviating exposure bias in diffusion models through sampling with shifted time steps","volume-title":"ICLR","author":"Li","year":"2024"},{"key":"ref19","article-title":"Faster diffusion: Rethinking the role of the encoder for diffusion model inference","volume-title":"NeurIPS","author":"Li","year":"2024"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref21","article-title":"Pseudo numerical methods for diffusion models on manifolds","volume-title":"ICLR","author":"Liu","year":"2022"},{"key":"ref22","article-title":"Flow straight and fast: Learning to generate and transfer data with rectified flow","volume-title":"ICLR","author":"Liu","year":"2023"},{"key":"ref23","article-title":"Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps","volume-title":"NeurIPS","author":"Lu","year":"2022"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-025-1562-4"},{"key":"ref25","article-title":"Knowledge distillation in iterative generative models for improved sampling speed","author":"Luhman","year":"2021","journal-title":"arXiv preprint"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00286"},{"key":"ref27","article-title":"Latent consistency models: Synthesizing highresolution images with few-step inference","author":"Luo","year":"2023","journal-title":"arXiv preprint"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1017\/S0013091500008786"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01374"},{"key":"ref30","article-title":"Elucidating the exposure bias in diffusion models","volume-title":"ICLR","author":"Ning","year":"2024"},{"key":"ref31","article-title":"Dreamfusion: Text-to-3d using 2d diffusion","volume-title":"ICLR","author":"Poole","year":"2023"},{"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":"Align your steps: Optimizing sampling schedules in diffusion models","volume-title":"ICML","author":"Sabour","year":"2024"},{"key":"ref35","article-title":"Photorealistic text-to-image diffusion models with deep language understanding","volume-title":"NeurIPS","author":"Saharia","year":"2022"},{"key":"ref36","article-title":"Progressive distillation for fast sampling of diffusion models","volume-title":"ICLR","author":"Salimans","year":"2022"},{"key":"ref37","article-title":"Adversarial diffusion distillation","volume-title":"ECCV","author":"Sauer","year":"2024"},{"key":"ref38","article-title":"Parallel sampling of diffusion models","volume-title":"NeurIPS","author":"Shih","year":"2023"},{"key":"ref39","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"ICML","author":"Sohl-Dickstein","year":"2015"},{"key":"ref40","article-title":"Denoising diffusion implicit models","volume-title":"I C L R","author":"Song","year":"2021"},{"key":"ref41","article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"ICLR","author":"Song","year":"2021"},{"key":"ref42","article-title":"Consistency models","volume-title":"ICML","author":"Song","year":"2023"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref44","article-title":"Learning to discretize denoising diffusion odes","volume-title":"ICLR","author":"Tong","year":"2025"},{"key":"ref45","article-title":"Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation","volume-title":"NeurIPS","author":"Wang","year":"2023"},{"key":"ref46","article-title":"Learning fast samplers for diffusion models by differentiating through sample quality","volume-title":"ICLR","author":"Watson","year":"2022"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00792"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00632"},{"key":"ref49","article-title":"Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop","author":"Yu","year":"2015","journal-title":"arXiv preprint"},{"key":"ref50","article-title":"Fast sampling of diffusion models with exponential integrator","volume-title":"ICLR","author":"Zhang","year":"2023"},{"key":"ref51","article-title":"Unipc: A unified predictor-corrector framework for fast sampling of diffusion models","volume-title":"NeurIPS","author":"Zhao","year":"2024"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00743"},{"key":"ref53","article-title":"Simple and fast distillation of diffusion models","volume-title":"NeurIPS","author":"Zhou","year":"2025"}],"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\/11445910.pdf?arnumber=11445910","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T05:32:52Z","timestamp":1777613572000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11445910\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/iccv51701.2025.01818","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}