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BEGIN:VEVENT
DTSTAMP:20260114T163730Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T162500
DTEND;TZID=Australia/Melbourne:20231214T171800
UID:siggraphasia_SIGGRAPH Asia 2023_sess133@linklings.com
SUMMARY:Visualizing the Future
DESCRIPTION:DeepBasis: Hand-Held Single-Image SVBRDF Capture via Two-Level
  Basis Material Model\n\nRecovering spatial-varying bi-directional reflect
 ance distribution function (SVBRDF) from a single hand-held captured image
  has been a meaningful but challenging task in computer graphics. Benefiti
 ng from the learned data priors, some previous methods can utilize the pot
 ential material correlations ...\n\n\nLi Wang, Lianghao Zhang, Fangzhou Ga
 o, and Jiawan Zhang (Tianjin University)\n---------------------\nOpenSVBRD
 F: A Database of Measured Spatially-Varying Reflectance\n\nWe present the 
 first large-scale database of measured spatially-varying anisotropic refle
 ctance, consisting of 1,000 high-quality near-planar SVBRDFs, spanning 9 m
 aterial categories such as wood, fabric and metal. Each sample is captured
  in 15 minutes, and represented as a set of high-resolution tex...\n\n\nXi
 aohe Ma, Xianmin Xu, Leyao Zhang, Kun Zhou, and Hongzhi Wu (State Key Labo
 ratory of CAD&CG, Zhejiang Univerisity)\n---------------------\nMatFusion:
  A Generative Diffusion Model for SVBRDF Capture\n\nWe formulate SVBRDF es
 timation from photographs as a diffusion task. To model the distribution o
 f spatially varying materials, we first train a novel unconditional SVBRDF
  diffusion backbone model on a large set of 312,165 synthetic spatially va
 rying material exemplars.  This SVBRDF  diffusion backbo...\n\n\nSam Sarto
 r and Pieter Peers (College of William & Mary)\n---------------------\nMic
 roGlam: Microscopic Skin Image Dataset with Cosmetics\n\nIn this paper, we
  present a cosmetic-specific skin image dataset. It consists of skin image
 s from 45 patches of size 8mm*8mm under three cosmetic products (i.e. foun
 dation, blusher, and highlighter).\n\n\nToby Chong (The University of Toko
 ), Alina Chadwick (Dartmouth College), I-Chao Shen (The University of Toky
 o), Haoran Xie (Japan Advanced Institute of Science and Technology (JAIST)
 ), and Takeo Igarashi (The University of Tokyo)\n---------------------\nDi
 ffusion-based Holistic Texture Rectification and Synthesis\n\nWe present a
  novel framework for rectifying occlusions and distortions in degraded tex
 ture samples from natural images. Traditional texture synthesis approaches
  focus on generating textures from pristine samples, which necessitate met
 iculous preparation by humans and are often unattainable in most n...\n\n\
 nGuoqing Hao (University of Tsukuba, National Institute of Advanced Indust
 rial Science and Technology); Satoshi Iizuka (University of Tsukuba); Kens
 ho Hara (National Institute of Advanced Industrial Science); Edgar Simo-Se
 rra (Waseda University); Hirokatsu Kataoka (National Institute of Advanced
  Industrial Science); and Kazuhiro Fukui (University of Tsukuba)\n\nRegist
 ration Category: Full Access\n\nSession Chair: Anton Kaplanyan (Intel)
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