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BEGIN:VEVENT
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_779@linklings.com
SUMMARY:ReShader: View-Dependent Highlights for Single Image View-Synthesi
 s
DESCRIPTION:Technical Papers\n\nAvinash Paliwal and Brandon G. Nguyen (Tex
 as A&M University), Andrii Tsarov (Leia Inc.), and Nima Khademi Kalantari 
 (Texas A&M University)\n\nIn recent years, novel view synthesis from a sin
 gle image has seen significant progress thanks to the rapid advancements i
 n 3D scene representation and image inpainting techniques. While the curre
 nt approaches are able to synthesize geometrically consistent novel views,
  they often do not handle the view-dependent effects properly. Specificall
 y, the highlights in their synthesized images usually appear to be glued t
 o the surfaces, making the novel views unrealistic. To address this major 
 problem, we make a key observation that the process of synthesizing novel 
 views requires changing the shading of the pixels based on the novel camer
 a, and moving them to appropriate locations. Therefore, we propose to spli
 t the view synthesis process into two independent tasks of pixel reshading
  and relocation. During the reshading process, we take the single image as
  the input and adjust its shading based on the novel camera. This reshaded
  image is then used as the input to an existing view synthesis method to r
 elocate the pixels and produce the final novel view image. We propose to u
 se a neural network to perform reshading and generate a large set of synth
 etic input-reshaded pairs to train our network. We demonstrate that our ap
 proach produces plausible novel view images with realistic moving highligh
 ts on a variety of real world scenes.\n\nRegistration Category: Full Acces
 s, Enhanced Access, Trade Exhibitor, Experience Hall Exhibitor
URL:https://asia.siggraph.org/2023/full-program?id=papers_779&sess=sess209
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