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Converged images still require many samples per pixel even with denoising, and to this date, no real\u2010time gradient\u2010domain rendering methods have been proposed. We enable gradient\u2010domain methods in real\u2010time rendering by spatiotemporal sample reuse with a novel path space extension in gradient image rendering. We further explore this concept by implementing ReSTIR G\u2010PT, ReSTIR gradient\u2010domain path tracing, and find that relative sparsity of the gradient image allows highly selective spatial reuse and real\u2010time frame rates. Our method outperforms the baseline methods visually and statistically.<\/jats:p>","DOI":"10.1111\/cgf.70328","type":"journal-article","created":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T13:14:37Z","timestamp":1775826877000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Gradient\u2010Domain ReSTIR Path Tracing"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-8518-5486","authenticated-orcid":false,"given":"Yu\u2010Chen","family":"Wang","sequence":"first","affiliation":[{"name":"University of California  Irvine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5206-9603","authenticated-orcid":false,"given":"Markus","family":"Kettunen","sequence":"additional","affiliation":[{"name":"NVIDIA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5139-6418","authenticated-orcid":false,"given":"Daqi","family":"Lin","sequence":"additional","affiliation":[{"name":"NVIDIA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5133-4292","authenticated-orcid":false,"given":"Chris","family":"Wyman","sequence":"additional","affiliation":[{"name":"NVIDIA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5735-0998","authenticated-orcid":false,"given":"Lifan","family":"Wu","sequence":"additional","affiliation":[{"name":"NVIDIA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4759-0514","authenticated-orcid":false,"given":"Shuang","family":"Zhao","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana\u2010Champaign"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2026,4,10]]},"reference":[{"issue":"6","key":"e_1_2_8_2_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3414685.3417847","article-title":"Deep combiner for independent and correlated pixel estimates","volume":"39","author":"Back Jonghee","year":"2020","journal-title":"ACM Transactions on Graphics"},{"issue":"4","key":"e_1_2_8_3_2","first-page":"2","volume":"39","author":"Bitterli Benedikt","year":"2020","journal-title":"Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting"},{"issue":"3","key":"e_1_2_8_4_2","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1093\/biomet\/69.3.653","article-title":"A General Purpose Unequal Probability Sampling Plan","volume":"69","author":"Chao M. 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