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DTSTAMP:20240214T070241Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_458@linklings.com
SUMMARY:Intrinsic Harmonization for Illumination-Aware Image Compositing
DESCRIPTION:Technical Papers\n\nChris Careaga, S. Mahdi H. Miangoleh, and 
 Yağız Aksoy (Simon Fraser University)\n\nDespite significant advancements 
 in network-based image harmonization techniques, there still exists a doma
 in gap between training pairs and real-world composites encountered during
  inference. Most existing methods are trained to reverse global edits made
  on segmented image regions, which fail to accurately capture the lighting
  inconsistencies between the foreground and background commonly found in c
 omposited images. In this work, we introduce a self-supervised illuminatio
 n harmonization approach formulated in the intrinsic image domain. First, 
 we estimate a simple global lighting model from mid-level vision represent
 ations to generate a rough shading for the foreground region. A network th
 en refines this inferred shading to generate a harmonious re-shading that 
 aligns with the background scene. In order to match the color appearance o
 f the foreground and background, we utilize ideas from prior harmonization
  approaches to perform global image edits in the albedo domain. To validat
 e the effectiveness of our approach, we present results on challenging rea
 l-world composites and conduct a user study to objectively measure the enh
 anced realism achieved compared to state-of-the-art harmonization methods.
 \n\nRegistration Category: Full Access, Enhanced Access, Trade Exhibitor, 
 Experience Hall Exhibitor
URL:https://asia.siggraph.org/2023/full-program?id=papers_458&sess=sess209
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