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Graph."],"published-print":{"date-parts":[[2024,7,19]]},"abstract":"<jats:p>Recent advancements in spatiotemporal reservoir resampling (ReSTIR) leverage sample reuse from neighbors to efficiently evaluate the path integral. Like rasterization, ReSTIR methods implicitly assume a pinhole camera and evaluate the light arriving at a pixel through a single predetermined subpixel location at a time (e.g., the pixel center). This prevents efficient path reuse in and near pixels with high-frequency details.<\/jats:p>\n          <jats:p>\n            We introduce\n            <jats:italic>Area ReSTIR<\/jats:italic>\n            , extending ReSTIR reservoirs to also integrate each pixel's 4D ray space, including 2D areas on the film and lens. We design novel subpixel-tracking temporal reuse and shift mappings that maximize resampling quality in such regions. This robustifies ReSTIR against high-frequency content, letting us importance sample subpixel and lens coordinates and efficiently render antialiasing and depth of field.\n          <\/jats:p>","DOI":"10.1145\/3658210","type":"journal-article","created":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T14:47:57Z","timestamp":1721400477000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Area ReSTIR: Resampling for Real-Time Defocus and Antialiasing"],"prefix":"10.1145","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6252-3291","authenticated-orcid":false,"given":"Song","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Utah, Salt Lake City, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5139-6418","authenticated-orcid":false,"given":"Daqi","family":"Lin","sequence":"additional","affiliation":[{"name":"NVIDIA Research, Redmond, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5206-9603","authenticated-orcid":false,"given":"Markus","family":"Kettunen","sequence":"additional","affiliation":[{"name":"NVIDIA Research, Helsinki, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0122-4159","authenticated-orcid":false,"given":"Cem","family":"Yuksel","sequence":"additional","affiliation":[{"name":"University of Utah, Salt Lake City, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5133-4292","authenticated-orcid":false,"given":"Chris","family":"Wyman","sequence":"additional","affiliation":[{"name":"NVIDIA Research, Redmond, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,7,19]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"crossref","unstructured":"Guillaume Abadie. 2018. 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