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Graph."],"published-print":{"date-parts":[[2014,9,23]]},"abstract":"<jats:p>Monte Carlo ray tracing is considered one of the most effective techniques for rendering photo-realistic imagery, but requires a large number of ray samples to produce converged or even visually pleasing images. We develop a novel image-plane adaptive sampling and reconstruction method based on local regression theory. A novel local space estimation process is proposed for employing the local regression, by robustly addressing noisy high-dimensional features. Given the local regression on estimated local space, we provide a novel two-step optimization process for selecting bandwidths of features locally in a data-driven way. Local weighted regression is then applied using the computed bandwidths to produce a smooth image reconstruction with well-preserved details. We derive an error analysis to guide our adaptive sampling process at the local space. We demonstrate that our method produces more accurate and visually pleasing results over the state-of-the-art techniques across a wide range of rendering effects. Our method also allows users to employ an arbitrary set of features, including noisy features, and robustly computes a subset of them by ignoring noisy features and decorrelating them for higher quality.<\/jats:p>","DOI":"10.1145\/2641762","type":"journal-article","created":{"date-parts":[[2014,10,1]],"date-time":"2014-10-01T13:34:59Z","timestamp":1412170499000},"page":"1-14","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":73,"title":["Adaptive Rendering Based on Weighted Local Regression"],"prefix":"10.1145","volume":"33","author":[{"given":"Bochang","family":"Moon","sequence":"first","affiliation":[{"name":"KAIST, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nathan","family":"Carr","sequence":"additional","affiliation":[{"name":"Adobe"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sung-Eui","family":"Yoon","sequence":"additional","affiliation":[{"name":"KAIST, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2014,9,23]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2011.01996.x"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487228.2487239"},{"key":"e_1_2_2_3_1","doi-asserted-by":"crossref","unstructured":"W. S. Cleveland and C. L. Loader. 1996. Smoothing by local regression: Principles and methods. In Statistical Theory and Computational Aspects of Smoothing Springer New York 10--49.  W. S. Cleveland and C. L. Loader. 1996. Smoothing by local regression: Principles and methods. 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Pharr and G. Humphreys. 2010. Physically Based Rendering: From Theory to Implementation 2nd Ed. Morgan Kaufmann San Fransisco.   M. Pharr and G. Humphreys. 2010. Physically Based Rendering: From Theory to Implementation 2 nd Ed. Morgan Kaufmann San Fransisco."},{"key":"e_1_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/1661412.1618478"},{"key":"e_1_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2024156.2024193"},{"key":"e_1_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366214"},{"key":"e_1_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176325632"},{"key":"e_1_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/192161.192189"},{"key":"e_1_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366212"},{"key":"e_1_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/1283900.1283909"},{"key":"e_1_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2167076.2167083"},{"key":"e_1_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/1944745.1944747"},{"key":"e_1_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1516522.1516529"},{"key":"e_1_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1137\/1035134"}],"container-title":["ACM Transactions on Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2641762","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2641762","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T06:56:19Z","timestamp":1750229779000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2641762"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,9,23]]},"references-count":35,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2014,9,23]]}},"alternative-id":["10.1145\/2641762"],"URL":"https:\/\/doi.org\/10.1145\/2641762","relation":{},"ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,9,23]]},"assertion":[{"value":"2013-07-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2014-03-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2014-09-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}