BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Australia/Melbourne
X-LIC-LOCATION:Australia/Melbourne
BEGIN:DAYLIGHT
TZOFFSETFROM:+1000
TZOFFSETTO:+1100
TZNAME:AEDT
DTSTART:19721003T020000
RRULE:FREQ=YEARLY;BYMONTH=4;BYDAY=1SU
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:19721003T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260114T163651Z
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:An Implicit Physical Face Model Driven by Expression and Style
 \n\n3D facial animation is often produced by manipulating facial deformati
 on models (or rigs), that are traditionally parameterized by expression co
 ntrols. A key component that is usually 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 Ch
 andran (The Walt Disney Company (Switzerland) GmbH); Paulo Gotardo (Disney
  Research Studios, The Walt Disney Company (Switzerland) GmbH); Markus Gro
 ss (ETH Zürich, The Walt Disney Company (Switzerland) GmbH); Barbara Solen
 thaler (ETH Zürich); Eftychios Sifakis (University of Wisconsin Madison); 
 and Derek Bradley (The Walt Disney Company (Switzerland) GmbH)\n----------
 -----------\nGroomGen: A High-Quality Generative Hair Model Using Hierarch
 ical Latent Representations\n\nDespite recent successes in hair acquisitio
 n that fits a high-dimensional hair model to a specific input subject, gen
 erative hair models, which establish general 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), Meng
 lei Chai and Alessandro Pepe (Google Inc.), Markus Gross (ETH Zürich), and
  Thabo Beeler (Google Inc.)\n---------------------\nEMS: 3D Eyebrow Modeli
 ng from Single-view Images\n\nEyebrows play a critical role in facial expr
 ession and appearance. Although the 3D digitization of faces is well explo
 red, less attention has been drawn to 3D eyebrow modeling. In this work, w
 e propose EMS, the first learning-based framework for single-view 3D eyebr
 ow reconstruction. Following the m...\n\n\nChenghong Li, Leyang Jin, and Y
 ujian Zheng (The Chinese University of Hong Kong, Shenzhen); Yizhou Yu (Th
 e University of Hong Kong); and Xiaoguang Han (The Chinese University of H
 ong Kong, Shenzhen)\n---------------------\nCLIP-Head: Text-Guided Generat
 ion of Textured Neural Parametric 3D Head Models\n\nWe introduce a novel a
 pproach for text-driven generation of diverse 3D textured head avatars wit
 h controllable expressions, shapes, and appearances.\n\n\nPranav Manu and 
 Astitva Srivastava (International Institute of Information Technology, Hyd
 erabad) and Avinash Sharma (International Institute of Information Technol
 ogy, Hyderabad; Indian Institute of Technology, Jodhpur)\n----------------
 -----\nHair Tubes: Stylized Hair from Polygonal Meshes of Arbitrary Topolo
 gy\n\nIntroducing a fast, topology-independent technique for crafting arti
 stic hairstyles from 3D models. Leveraging discrete differential geometry,
  it simplifies hair styling for artists. Real-world production examples de
 monstrate the method's versatility.\n\n\nSoorya Narayan Jayaraman Mohan (A
 nimal Logic)\n\nRegistration Category: Full Access\n\nSession Chair: Weida
 n Xiong (Shenzhen University, College of Computer Science and Software Eng
 ineering)
END:VEVENT
END:VCALENDAR