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BEGIN:VEVENT
DTSTAMP:20240214T070245Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231213T160000
DTEND;TZID=Australia/Melbourne:20231213T161500
UID:siggraphasia_SIGGRAPH Asia 2023_sess125_papers_779@linklings.com
SUMMARY:ReShader: View-Dependent Highlights for Single Image View-Synthesi
 s
DESCRIPTION:Technical Papers, TOG\n\nAvinash Paliwal and Brandon G. Nguyen
  (Texas A&M University), Andrii Tsarov (Leia Inc.), and Nima Khademi Kalan
 tari (Texas A&M University)\n\nIn recent years, novel view synthesis from 
 a single image has seen significant progress thanks to the rapid advanceme
 nts in 3D scene representation and image inpainting techniques. While the 
 current approaches are able to synthesize geometrically consistent novel v
 iews, they often do not handle the view-dependent effects properly. Specif
 ically, the highlights in their synthesized images usually appear to be gl
 ued to the surfaces, making the novel views unrealistic. To address this m
 ajor problem, we make a key observation that the process of synthesizing n
 ovel views requires changing the shading of the pixels based on the novel 
 camera, and moving them to appropriate locations. Therefore, we propose to
  split the view synthesis process into two independent tasks of pixel resh
 ading and relocation. During the reshading process, we take the single ima
 ge as the input and adjust its shading based on the novel camera. This res
 haded image is then used as the input to an existing view synthesis method
  to relocate the pixels and produce the final novel view image. We propose
  to use a neural network to perform reshading and generate a large set of 
 synthetic input-reshaded pairs to train our network. We demonstrate that o
 ur approach produces plausible novel view images with realistic moving hig
 hlights on a variety of real world scenes.\n\nRegistration Category: Full 
 Access\n\nSession Chair: Michael Gharbi (Adobe, MIT)
URL:https://asia.siggraph.org/2023/full-program?id=papers_779&sess=sess125
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