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DTSTAMP:20240214T070312Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T131500
DTEND;TZID=Australia/Melbourne:20231215T141100
UID:siggraphasia_SIGGRAPH Asia 2023_sess137@linklings.com
SUMMARY:Head & Face
DESCRIPTION:Technical Communications, Technical Papers\n\nEMS: 3D Eyebrow 
 Modeling from Single-view Images\n\nEyebrows play a critical role in facia
 l expression and appearance. Although the 3D digitization of faces is well
  explored, less attention has been drawn to 3D eyebrow modeling. In this w
 ork, we propose EMS, the first learning-based framework for single-view 3D
  eyebrow reconstruction. Following the m...\n\n\nChenghong Li, Leyang Jin,
  and Yujian Zheng (The Chinese University of Hong Kong, Shenzhen); Yizhou 
 Yu (The University of Hong Kong); and Xiaoguang Han (The Chinese Universit
 y of Hong Kong, Shenzhen)\n---------------------\nAn Implicit Physical Fac
 e Model Driven by Expression and Style\n\n3D facial animation is often pro
 duced by manipulating facial deformation models (or rigs), that are tradit
 ionally parameterized by expression controls. A key component that is usua
 lly overlooked is expression ``style", as in, how a particular expression 
 is performed. Although it is common to define ...\n\n\nLingchen Yang (ETH 
 Zürich); Gaspard Zoss and Prashanth Chandran (The Walt Disney Company (Swi
 tzerland) GmbH); Paulo Gotardo (Disney Research Studios, The Walt Disney C
 ompany (Switzerland) GmbH); Markus Gross (ETH Zürich, The Walt Disney Comp
 any (Switzerland) GmbH); Barbara Solenthaler (ETH Zürich); Eftychios Sifak
 is (University of Wisconsin Madison); and Derek Bradley (The Walt Disney C
 ompany (Switzerland) GmbH)\n---------------------\nHair Tubes: Stylized Ha
 ir from Polygonal Meshes of Arbitrary Topology\n\nIntroducing a fast, topo
 logy-independent technique for crafting artistic hairstyles from 3D models
 . Leveraging discrete differential geometry, it simplifies hair styling fo
 r artists. Real-world production examples demonstrate the method's versati
 lity.\n\n\nSoorya Narayan Jayaraman Mohan (Animal Logic)\n----------------
 -----\nCLIP-Head: Text-Guided Generation of Textured Neural Parametric 3D 
 Head Models\n\nWe introduce a novel approach for text-driven generation of
  diverse 3D textured head avatars with controllable expressions, shapes, a
 nd appearances.\n\n\nPranav Manu and Astitva Srivastava (International Ins
 titute of Information Technology, Hyderabad) and Avinash Sharma (Internati
 onal Institute of Information Technology, Hyderabad; Indian Institute of T
 echnology, Jodhpur)\n---------------------\nGroomGen: A High-Quality Gener
 ative Hair Model Using Hierarchical Latent Representations\n\nDespite rece
 nt successes in hair acquisition that fits a high-dimensional hair model t
 o a specific input subject, generative hair models, which establish genera
 l embedding spaces for encoding, editing, and sampling diverse hairstyles,
  are way less explored. In this paper, we present GroomGen, the fi...\n\n\
 nYuxiao Zhou (ETH Zürich), Menglei Chai and Alessandro Pepe (Google Inc.),
  Markus Gross (ETH Zürich), and Thabo Beeler (Google Inc.)\n\nRegistration
  Category: Full Access\n\nSession Chair: Weidan Xiong (Shenzhen University
 )
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