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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20250110T023312Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241206T090000
DTEND;TZID=Asia/Tokyo:20241206T101000
UID:siggraphasia_SIGGRAPH Asia 2024_sess139@linklings.com
SUMMARY:Beauty Salon: Hair, Face, Lips, and Teeth
DESCRIPTION:Technical Papers\n\nEach Paper gives a 10 minute presentation.
 \n\nTowards Unified 3D Hair Reconstruction from Single-View Portraits\n\nS
 ingle-view 3D hair reconstruction is challenging, due to the wide range of
  shape variations among diverse hairstyles. Current state-of-the-art metho
 ds are specialized in recovering un-braided 3D hairs and often take braide
 d styles as their failure cases, because of the inherent difficulty to def
 ine...\n\n\nYujian Zheng, Yuda Qiu, and Leyang Jin (Chinese University of 
 Hong Kong, Shenzhen); Chongyang Ma, Haibin Huang, Di Zhang, and Pengfei Wa
 n (Kuaishou Technology); and Xiaoguang Han (Chinese University of Hong Kon
 g, Shenzhen)\n---------------------\nCurly-Cue: Geometric Methods for High
 ly Coiled Hair\n\nWe present geometric methods for generating shapes that 
 are characteristic of highly coiled hair. Different features become visual
 ly relevant when hairs are well-approximated by high-frequency helices ins
 tead of a low-frequency curves, so we present algorithms for three such ph
 enomena. First, a Four...\n\n\nHaomiao Wu and Alvin Shi (Yale University),
  A.M. Darke (University of California Santa Cruz), and Theodore Kim (Yale 
 University)\n---------------------\nHairmony: Fairness-aware hairstyle cla
 ssification\n\nWe present a method for prediction of a person's hairstyle 
 from a single image. Despite growing use cases in user digitization and en
 rollment for virtual experiences, available methods are limited, particula
 rly in the range of hairstyles they can capture. Human hair is extremely d
 iverse and lacks an...\n\n\nGivi Meishvili, James Clemoes, Charlie Hewitt,
  Zafiirah Hosenie, Xian Xiao, Martin de La Gorce, Tibor Takacs, Tadas Balt
 rusaitis, Antonio Criminisi, and Chyna McRae (Microsoft); Nina Jablonski (
 Pennsylvania State University); and Marta Wilczkowiak (Microsoft)\n-------
 --------------\nGroomCap: High-Fidelity Prior-Free Hair Capture\n\nDespite
  recent advances in multi-view hair reconstruction, achieving strand-level
  precision remains a significant challenge due to inherent limitations in 
 existing capture pipelines. We introduce GroomCap, a novel multi-view hair
  capture method that reconstructs faithful and high-fidelity hair geome...
 \n\n\nYuxiao Zhou (ETH Zürich); Menglei Chai, Daoye Wang, Sebastian Winber
 g, Erroll Wood, and Kripasindhu Sarkar (Google Inc.); Markus Gross (ETH Zü
 rich); and Thabo Beeler (Google Inc.)\n---------------------\nThe Lips, th
 e Teeth, the tip of the Tongue: LTT Tracking\n\nA mesh-based generative mo
 del of the inner-mouth system is presented, which includes teeth and gums 
 for the upper and lower jaw, the tongue, and their placement inside the hu
 man head. The model is capable of capturing person-specific detail, enabli
 ng the creation of highly accurate avatars that exce...\n\n\nFeisal Rasras
 , Stanislav Pidhorskyi, and Tomas Simon (Reality Labs Research); Hallison 
 Paz (Instituto Nacional de Matemática Pura e Aplicada (IMPA)); and He Wen,
  Jason Saragih, and Javier Romero (Reality Labs Research)\n---------------
 ------\nSPARK: Self-supervised Personalized Real-time Monocular Face Captu
 re\n\nFeedforward monocular face capture methods seek to reconstruct posed
  faces from a single image of a person. Current state of the art approache
 s have the ability to regress parametric 3D face models in real-time acros
 s a wide range of identities, lighting conditions and poses by leveraging 
 large imag...\n\n\nKelian Baert (Technicolor Group, Institut national de r
 echerche en informatique et en automatique (INRIA) Rennes); Shrisha Bharad
 waj (Max Planck Institute for Intelligent Systems); Fabien Castan and Beno
 it Maujean (Technicolor Group); Marc Christie (Institut national de recher
 che en informatique et en automatique (INRIA)); Victoria Fernández Abrevay
 a (Max Planck Institute for Intelligent Systems); and Adnane Boukhayma (In
 stitut national de recherche en informatique et en automatique (INRIA))\n\
 nRegistration Category: Full Access, Full Access Supporter\n\nLanguage For
 mat: English Language\n\nSession Chair: Kui Wu (LightSpeed Studios)
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