{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T14:31:34Z","timestamp":1767969094579,"version":"3.49.0"},"reference-count":27,"publisher":"Association for Computing Machinery (ACM)","issue":"6","license":[{"start":{"date-parts":[[2013,11,1]],"date-time":"2013-11-01T00:00:00Z","timestamp":1383264000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["0964004, CGV-1111415"],"award-info":[{"award-number":["0964004, CGV-1111415"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2013,11]]},"abstract":"<jats:p>We introduce \"time hallucination\": synthesizing a plausible image at a different time of day from an input image. This challenging task often requires dramatically altering the color appearance of the picture. In this paper, we introduce the first data-driven approach to automatically creating a plausible-looking photo that appears as though it were taken at a different time of day. The time of day is specified by a semantic time label, such as \"night\".<\/jats:p>\n          <jats:p>\n            Our approach relies on a database of time-lapse videos of various scenes. These videos provide rich information about the variations in color appearance of a scene throughout the day. Our method transfers the color appearance from videos with a similar scene as the input photo. We propose a\n            <jats:italic>locally affine model<\/jats:italic>\n            learned from the video for the transfer, allowing our model to synthesize new color data while retaining image details. We show that this model can hallucinate a wide range of different times of day. The model generates a large sparse linear system, which can be solved by off-the-shelf solvers. We validate our methods by synthesizing transforming photos of various outdoor scenes to four times of interest: daytime, the golden hour, the blue hour, and nighttime.\n          <\/jats:p>","DOI":"10.1145\/2508363.2508419","type":"journal-article","created":{"date-parts":[[2013,11,6]],"date-time":"2013-11-06T14:09:19Z","timestamp":1383746959000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":144,"title":["Data-driven hallucination of different times of day from a single outdoor photo"],"prefix":"10.1145","volume":"32","author":[{"given":"Yichang","family":"Shih","sequence":"first","affiliation":[{"name":"MIT CSAIL"}]},{"given":"Sylvain","family":"Paris","sequence":"additional","affiliation":[{"name":"Adobe"}]},{"given":"Fr\u00e9do","family":"Durand","sequence":"additional","affiliation":[{"name":"MIT CSAIL"}]},{"given":"William T.","family":"Freeman","sequence":"additional","affiliation":[{"name":"MIT CSAIL"}]}],"member":"320","published-online":{"date-parts":[[2013,11]]},"reference":[{"key":"e_1_2_2_1_1","volume-title":"European Conference on Computer Vision, 29--43","author":"Barnes C.","unstructured":"Barnes , C. , Shechtman , E. , Goldman , D. , and Finkelstein , A . 2010. The generalized patchmatch correspondence algorithm . European Conference on Computer Vision, 29--43 . Barnes, C., Shechtman, E., Goldman, D., and Finkelstein, A. 2010. The generalized patchmatch correspondence algorithm. European Conference on Computer Vision, 29--43."},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1618452.1618476"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995413"},{"key":"e_1_2_2_4_1","unstructured":"Caputo R. 2005. In Potography field guide National Geographics 104--115.  Caputo R. 2005. In Potography field guide National Geographics 104--115."},{"key":"e_1_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383296"},{"key":"e_1_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015778"},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026501619075"},{"key":"e_1_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/38.988747"},{"key":"e_1_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2010324.1964965"},{"key":"e_1_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276382"},{"key":"e_1_2_2_12_1","volume-title":"European Conference on Computer Vision, 1--14","author":"He K.","unstructured":"He , K. , Sun , J. , and Tang , X . 2010. Guided image filtering . European Conference on Computer Vision, 1--14 . He, K., Sun, J., and Tang, X. 2010. Guided image filtering. European Conference on Computer Vision, 1--14."},{"key":"e_1_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383295"},{"key":"e_1_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/2383654.2383683"},{"key":"e_1_2_2_15_1","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition, 1--6.","author":"Jacobs N.","unstructured":"Jacobs , N. , Roman , N. , and Pless , R . 2007. Consistent temporal variations in many outdoor scenes . In IEEE Conference on Computer Vision and Pattern Recognition, 1--6. Jacobs, N., Roman, N., and Pless, R. 2007. Consistent temporal variations in many outdoor scenes. In IEEE Conference on Computer Vision and Pattern Recognition, 1--6."},{"key":"e_1_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1409060.1409069"},{"key":"e_1_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366221"},{"key":"e_1_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1618452.1618477"},{"key":"e_1_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015780"},{"key":"e_1_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.18"},{"key":"e_1_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88690-7_3"},{"key":"e_1_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015777"},{"key":"e_1_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.166"},{"key":"e_1_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2010.11.003"},{"key":"e_1_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/38.946629"},{"key":"e_1_2_2_26_1","volume-title":"IEEE conference on Computer Vision and Pattern Recognition, 3485--3492","author":"Rowell G.","year":"2012","unstructured":"Rowell , G. 2012 . In Mountain Light, Sierra Club Books. Xiao, J., Hays, J., Ehinger, K., Oliva, A., and Torralba, A. 2010. Sun database: Large-scale scene recognition from abbey to zoo . In IEEE conference on Computer Vision and Pattern Recognition, 3485--3492 . Rowell, G. 2012. In Mountain Light, Sierra Club Books. Xiao, J., Hays, J., Ehinger, K., Oliva, A., and Torralba, A. 2010. Sun database: Large-scale scene recognition from abbey to zoo. In IEEE conference on Computer Vision and Pattern Recognition, 3485--3492."},{"key":"e_1_2_2_27_1","first-page":"689","article-title":"Generalized belief propagation","volume":"13","author":"Yedidia J. S.","year":"2000","unstructured":"Yedidia , J. S. , Freeman , W. T. , Weiss , Y. , 2000 . Generalized belief propagation . In Advances in Neural Information Processing Systems , vol. 13 , 689 -- 695 . Yedidia, J. S., Freeman, W. T., Weiss, Y., et al. 2000. Generalized belief propagation. In Advances in Neural Information Processing Systems, vol. 13, 689--695.","journal-title":"Advances in Neural Information Processing Systems"}],"container-title":["ACM Transactions on Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2508363.2508419","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2508363.2508419","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T07:28:39Z","timestamp":1750231719000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2508363.2508419"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,11]]},"references-count":27,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2013,11]]}},"alternative-id":["10.1145\/2508363.2508419"],"URL":"https:\/\/doi.org\/10.1145\/2508363.2508419","relation":{},"ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,11]]},"assertion":[{"value":"2013-11-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}