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PRODID:Linklings LLC
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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:JST
DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20250110T023311Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241203T154300
DTEND;TZID=Asia/Tokyo:20241203T155400
UID:siggraphasia_SIGGRAPH Asia 2024_sess108_papers_1008@linklings.com
SUMMARY:Colorful Diffuse Intrinsic Image Decomposition in the Wild
DESCRIPTION:Technical Papers\n\nChris Careaga and Yağız Aksoy (Simon Frase
 r University)\n\nIntrinsic image decomposition aims to separate the surfac
 e reflectance and the effects from the illumination given a single photogr
 aph. Due to the complexity of the problem, most prior works assume a singl
 e-color illumination and a Lambertian world, which limits their use in ill
 umination-aware image editing applications. In this work, we separate an i
 nput image into its diffuse albedo, colorful diffuse shading, and specular
  residual components. We arrive at our result by gradually removing first 
 the single-color illumination and then the Lambertian-world assumptions. W
 e show that by dividing the problem into easier sub-problems, in-the-wild 
 colorful diffuse shading estimation can be achieved despite the limited gr
 ound-truth datasets. Our extended intrinsic model enables illumination-awa
 re analysis of photographs and can be used for image editing applications 
 such as specularity removal and per-pixel white balancing.\n\nRegistration
  Category: Full Access, Full Access Supporter\n\nLanguage Format: English 
 Language\n\nSession Chair: I-Chao Shen (The University of Tokyo)
URL:https://asia.siggraph.org/2024/program/?id=papers_1008&sess=sess108
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