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DTSTAMP:20260114T163646Z
LOCATION:Meeting Room C4.9+C4.10\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231213T145000
DTEND;TZID=Australia/Melbourne:20231213T150500
UID:siggraphasia_SIGGRAPH Asia 2023_sess164_tog_108@linklings.com
SUMMARY:High-Resolution Volumetric Reconstruction for Clothed Humans
DESCRIPTION:Sicong Tang (Simon Fraser University); Guangyuan Wang, Qing Ra
 n, Lingzhi Li, and Li Shen (Alibaba); and Ping Tan (Simon Fraser Universit
 y)\n\nWe present a novel method for reconstructing clothed humans from a s
 parse set of, e.g., 1-6 RGB images. We revisit the volumetric approach and
  demonstrate that better performance can be achieved with proper system de
 sign. The volumetric representation offers significant advantages in lever
 aging 3D spatial context through 3D convolutions, and the notorious quanti
 zation error is largely negligible with a reasonably large yet affordable 
 volume resolution, e.g., 512. Extensive experimental results show that our
  method significantly reduces the mean point-to-surface (P2S) precision of
  state-of-the-art methods by more than 50% to achieve approximately 2mm ac
 curacy with a 512 volume resolution. Additionally, images rendered from ou
 r textured model achieve a higher peak signal-to-noise ratio (PSNR) compar
 ed to state-of-the-art methods.\n\nRegistration Category: Full Access\n\nS
 ession Chair: Parag Chaudhuri (Indian Institute of Technology Bombay)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=tog_108&sess=sess164
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