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TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
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TZOFFSETTO:+0900
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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035347Z
LOCATION:Room 325-AB\, Level 3\, West Wing
DTSTART;TZID=Asia/Seoul:20221207T153000
DTEND;TZID=Asia/Seoul:20221207T170000
UID:siggraphasia_SIGGRAPH Asia 2022_sess163@linklings.com
SUMMARY:Faces and Avatars
DESCRIPTION:Technical Communications, Technical Papers\n\nThe presentation
 s will be followed by a 30-min Interactive Discussion Session at Room 325-
 CD.\n\nThe Technical Papers program is the premier international forum for
  disseminating new scholarly work in computer graphics and interactive tec
 hniques. Technical Papers are published as a special issue of ACM Transact
 ions on Graphics. In addition to papers selected by the SIGGRAPH Asia 2022
  Technical Papers Jury, the conference presents papers that have been publ
 ished in ACM Transactions on Graphics during the past year. Accepted paper
 s adhere to the highest scientific standards.\n\nThe Technical Communicati
 ons program is a premier forum for presenting the latest developments and 
 research still in progress. Leading international experts in academia and 
 industry present work that showcase actual implementations of research ide
 as, works at the crossroads of computer graphics with computer vision, mac
 hine learning, HCI, VR, CAD, visualization, and many others\n\nRapid Face 
 Asset Acquisition with Recurrent Feature Alignment\n\nLiu, Cai, Chen, Zhou
 , Zhao\n\nWe present Recurrent Feature Alignment (ReFA), an end-to-end neu
 ral network for the very rapid creation of production-grade face assets fr
 om multi-view images. ReFA is on par with the industrial pipelines in qual
 ity for producing accurate, complete, registered, and textured assets dire
 ctly applicabl...\n\n---------------------\nYour3dEmoji: Creating Personal
 ized Emojis via One-shot 3D-aware Cartoon Avatar Synthesis\n\nXu, Li, Shen
 , Men, Lian\n\nWe propose a novel 3D generative model to translate a real-
 world face image into its corresponding 3D avatar with only a single style
  example provided.\n\n---------------------\nLaplacianFusion: Detailed 3D 
 Clothed-Human Body Reconstruction\n\nKim, Nam, Kim, Park, Lee\n\nWe propos
 e LaplacianFusion, a novel approach that reconstructs detailed and control
 lable 3D clothed-human body shapes from an input depth or 3D point cloud s
 equence.\nThe key idea of our approach is to use Laplacian coordinates, we
 ll-known differential coordinates that have been used for mesh editing...\
 n\n---------------------\nAgileAvatar: Stylized 3D Avatar Creation via Cas
 caded Domain Bridging\n\nSang, Zhi, Song, Liu, Lai...\n\nStylized 3D avata
 rs have become increasingly prominent in our modern life. Creating these a
 vatars manually usually involves laborious selection and adjustment of con
 tinuous and discrete parameters and is time-consuming for average users. S
 elf-supervised approaches to automatically create 3D avatars ...\n\n------
 ---------------\nGeo-metric: A Perceptual Dataset of Distortions on Faces\
 n\nWolski, Trutoiu, Dong, Shen, MacKenzie...\n\nIn this work we take a nov
 el perception-centered approach to quantify distortions on 3D geometry of 
 faces, to which humans are particularly sensitive. We generated a dataset,
  composed of 100 high-quality and demographically-balanced face scans. We 
 then subjected these meshes to distortions that cove...\n\n---------------
 ------\nAn Implicit Parametric Morphable Dental Model\n\nZhang, Elgharib, 
 Fox, Gu, Theobalt...\n\n3D Morphable models of the human body capture vari
 ations among subjects and are useful in reconstruction and editing applica
 tions. Current dental models use an explicit mesh scene representation and
  model only the teeth, ignoring the gum. In this work, we present the firs
 t parametric 3D morphable de...\n\n---------------------\nSCULPTOR: Skelet
 on-Consistent Face Creation Using a Learned Parametric Generator\n\nQiu, L
 i, He, Zhang, Zhang...\n\nRecent years have seen growing interest in 3D hu
 man faces modelling due to its wide applications in digital human, charact
 er generation and animation. Existing approaches overwhelmingly emphasized
  on modeling the exterior shapes, textures and skin properties of faces, i
 gnoring the inherent correlati...\n\n\nRegistration Category: FULL ACCESS,
  ON-DEMAND ACCESS\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON, ON-DEMAND
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