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DTSTAMP:20250110T023313Z
LOCATION:Hall B5 (2)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241206T130000
DTEND;TZID=Asia/Tokyo:20241206T141000
UID:siggraphasia_SIGGRAPH Asia 2024_sess146@linklings.com
SUMMARY:Appearance Modeling
DESCRIPTION:Technical Papers\n\nEach Paper gives a 10 minute presentation.
 \n\nAppearance Modeling of Iridescent Feathers with Diverse Nanostructures
 \n\nMany animals exhibit structural colors, which are often iridescent, me
 aning that the perceived colors change with illumination conditions and vi
 ewing perspectives. Biological iridescence is usually caused by multilayer
 s or other periodic structures in animal tissues, which selectively reflec
 t light ...\n\n\nYunchen Yu (Cornell University); Andrea Weidlich (NVIDIA)
 ; Bruce Walter (Cornell University); Eugene d'Eon (NVIDIA); and Steve Mars
 chner (Cornell University, NVIDIA)\n---------------------\nPolarimetric BS
 SRDF Acquisition of Dynamic Faces\n\nAcquisition and modeling of polarized
  light reflection and scattering help reveal the shape, structure, and phy
 sical characteristics of an object, which is increasingly important in com
 puter graphics. However, current polarimetric acquisition systems are limi
 ted to static and opaque objects. Human f...\n\n\nHyunho Ha and Inseung Hw
 ang (Korea Advanced Institute of Science and Technology (KAIST)), Nestor M
 onzon (Universidad de Zaragoza - I3A), Jaemin Cho and Donggun Kim (Korea A
 dvanced Institute of Science and Technology (KAIST)), Seung-Hwan Baek (POS
 TECH), Adolfo Muñoz and Diego Gutierrez (Universidad de Zaragoza - I3A), a
 nd Min H. Kim (Korea Advanced Institute of Science and Technology (KAIST))
 \n---------------------\nControlMat: A Controlled Generative Approach to M
 aterial Capture\n\nMaterial reconstruction from a photograph is a key comp
 onent of 3D content creation democratization. We propose to formulate this
  ill-posed problem as a controlled synthesis one, leveraging the recent pr
 ogress in generative deep networks. We present ControlMat, a method which,
  given a single photogr...\n\n\nGiuseppe Vecchio (Adobe Research, Universi
 ty of Catania) and Rosalie Martin, Arthur Roullier, Adrien Kaiser, Romain 
 Rouffet, Valentin Deschaintre, and Tamy Boubekeur (Adobe Research)\n------
 ---------------\nA Dynamic By-example BTF Synthesis Scheme\n\nMeasured Bid
 irectional Texture Function (BTF) can faithfully reproduce a realistic app
 earance but is costly to acquire and store due to its 6D nature (2D spatia
 l and 4D angular). Therefore, it is practical and necessary for rendering 
 to synthesize BTFs from a small example patch. While previous meth...\n\n\
 nZilin Xu (University of California Santa Barbara), Zahra Montazeri (Unive
 rsity of Manchester), Beibei Wang (Nanjing University), and Ling-Qi Yan (U
 niversity of California Santa Barbara)\n---------------------\nNFPLight:  
 Deep SVBRDF Estimation via the Combination of Near and Far Field Point Lig
 hting\n\nRecovering spatial-varying bi-directional reflectance distributio
 n function (SVBRDF) from a few hand-held captured images has been a challe
 nging task in computer graphics. Benefiting from the learned priors from d
 ata, single-image methods can obtain plausible SVBRDF estimation results. 
 However, the ...\n\n\nLi Wang, Lianghao Zhang, Fangzhou Gao, Yuzhen Kang, 
 and Jiawan Zhang (Tianjin University)\n---------------------\nCorrelation-
 aware Encoder-Decoder with Adapters for SVBRDF Acquisition\n\nCapturing ma
 terials from the real world avoids laborious manual material authoring. Ho
 wever, recovering high-fidelity Spatially Varying Bidirectional Reflectanc
 e Distribution Function (SVBRDF) maps from a few captured images is challe
 nging due to its ill-posed nature. Existing approaches have made e...\n\n\
 nDi Luo and Hanxiao Sun (Nankai University), Lei Ma (Peking University), J
 ian Yang (Nankai University), and Beibei Wang (Nanjing University)\n\nRegi
 stration Category: Full Access, Full Access Supporter\n\nLanguage Format: 
 English Language\n\nSession Chair: Valentin Deschaintre (Adobe Research)
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