{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T06:18:21Z","timestamp":1778048301081,"version":"3.51.4"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:00:00Z","timestamp":1772755200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:00:00Z","timestamp":1772755200000},"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":[[2026,3,6]]},"DOI":"10.1109\/wacv61042.2026.00309","type":"proceedings-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T19:59:32Z","timestamp":1778011172000},"page":"3162-3171","source":"Crossref","is-referenced-by-count":0,"title":["Gradient-Free Classifier Guidance for Diffusion Model Sampling"],"prefix":"10.1109","author":[{"given":"Rahul","family":"Shenoy","sequence":"first","affiliation":[{"name":"Samsung Display America Lab,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihong","family":"Pan","sequence":"additional","affiliation":[{"name":"Samsung Display America Lab,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaushik","family":"Balakrishnan","sequence":"additional","affiliation":[{"name":"Samsung Display America Lab,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qisen","family":"Cheng","sequence":"additional","affiliation":[{"name":"Samsung Display America Lab,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongmoon","family":"Jeon","sequence":"additional","affiliation":[{"name":"Samsung Display Co.,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heejune","family":"Yang","sequence":"additional","affiliation":[{"name":"Samsung Display Co.,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaewon","family":"Kim","sequence":"additional","affiliation":[{"name":"Samsung Display Co.,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73464-9_1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00091"},{"key":"ref3","article-title":"Diffusion posterior sampling for general noisy inverse problems","author":"Chung","year":"2022"},{"key":"ref4","volume-title":"Stable diffusion","author":"Crowson","year":"2022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref6","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":"ref7","volume-title":"A smaller subset of 10 easily classified classes from imagenet, and a little more french","year":"2022"},{"key":"ref8","article-title":"Gradient guidance for diffusion models: An optimization perspective","author":"Guo","year":"2024"},{"key":"ref9","article-title":"Manifold preserving guided diffusion","author":"He","year":"2023"},{"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":"Classifier-free diffusion guidance","volume-title":"NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications","author":"Ho"},{"key":"ref12","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref13","article-title":"Video diffusion models","volume-title":"ICLR Workshop on Deep Generative Models for Highly Structured Data","author":"Ho"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.52202\/079017-2132"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00686"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1926"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.52202\/079017-1679"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02282"},{"key":"ref19","article-title":"Diffwave: A versatile diffusion model for audio synthesis","volume-title":"International Conference on Learning Representations","author":"Kong"},{"key":"ref20","article-title":"Applying guidance in a limited interval improves sample and distribution quality in diffusion models","author":"Kynkaanniemi","year":"2024"},{"key":"ref21","article-title":"Pseudo numerical methods for diffusion models on manifolds","author":"Liu","year":"2022"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00286"},{"key":"ref23","article-title":"GLIDE: Towards photorealistic image generation and editing with text-guided diffusion models","author":"Nichol","year":"2022"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00444"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01112"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096441"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.1145\/3528233.3530757","article-title":"Palette: Image-to-image diffusion models","volume-title":"NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications","author":"Saharia"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2643"},{"key":"ref30","article-title":"Denoising diffusion implicit models","volume-title":"International Conference on Learning Representations","author":"Song"},{"key":"ref31","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":"ref32","article-title":"Generative modeling by estimating gradients of the data distribution","volume":"32","author":"Song","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref33","article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"International Conference on Learning Representations","author":"Song"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0165"},{"key":"ref35","article-title":"Analysis of classifier-free guidance weight schedulers","author":"Wang","year":"2024"},{"key":"ref36","first-page":"38592","article-title":"Geometric latent diffusion models for 3d molecule generation","volume-title":"International Conference on Machine Learning","author":"Xu"},{"key":"ref37","article-title":"TFG: Unified training-free guidance for diffusion models","author":"Ye","year":"2024"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02118"}],"event":{"name":"2026 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)","location":"Tucson, AZ, USA","start":{"date-parts":[[2026,3,6]]},"end":{"date-parts":[[2026,3,10]]}},"container-title":["2026 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11491838\/11491925\/11492237.pdf?arnumber=11492237","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T05:55:35Z","timestamp":1778046935000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11492237\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,6]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/wacv61042.2026.00309","relation":{},"subject":[],"published":{"date-parts":[[2026,3,6]]}}}