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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_tog_108@linklings.com
SUMMARY:High-Resolution Volumetric Reconstruction for Clothed Humans
DESCRIPTION:Technical Papers\n\nSicong Tang (Simon Fraser University); Gua
 ngyuan Wang, Qing Ran, Lingzhi Li, and Li Shen (Alibaba); and Ping Tan (Si
 mon Fraser University)\n\nWe present a novel method for reconstructing clo
 thed humans from a sparse set of, e.g., 1-6 RGB images. We revisit the vol
 umetric approach and demonstrate that better performance can be achieved w
 ith proper system design. The volumetric representation offers significant
  advantages in leveraging 3D spatial context through 3D convolutions, and 
 the notorious quantization error is largely negligible with a reasonably l
 arge yet affordable volume resolution, e.g., 512. Extensive experimental r
 esults show that our method significantly reduces the mean point-to-surfac
 e (P2S) precision of state-of-the-art methods by more than 50% to achieve 
 approximately 2mm accuracy with a 512 volume resolution. Additionally, ima
 ges rendered from our textured model achieve a higher peak signal-to-noise
  ratio (PSNR) compared to state-of-the-art methods.\n\nRegistration Catego
 ry: Full Access, Enhanced Access, Trade Exhibitor, Experience Hall Exhibit
 or
URL:https://asia.siggraph.org/2023/full-program?id=tog_108&sess=sess209
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