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BEGIN:VEVENT
DTSTAMP:20250522T212942Z
LOCATION:Mile High 1
DTSTART;TZID=America/Denver:20240731T090000
DTEND;TZID=America/Denver:20240731T091000
UID:siggraph_SIGGRAPH 2024_sess122_paperstog_109@linklings.com
SUMMARY:HQ3DAvatar: High Quality Implicit 3D Head Avatar
DESCRIPTION:Kartik Teotia and Byrasandra Ramalinga Reddy Mallikarjun (Max 
 Planck Institute for Informatics); Xingang Pan (Max Planck Institute for I
 nformatics, Nanyang Technological University); Hyeongwoo Kim (Imperial Col
 lege London); Pablo Garrido (Flawless AI); Mohamed Elgharib and Christian 
 Theobalt (Max Planck Institute for Informatics); and Kartik Teotia\n\nWe p
 resent a novel method for rendering photorealistic human head avatars. Our
  method utilizes an implicitly learned canonical space constrained using o
 ptical flow in a multiresolution hash encoding framework. Our approach out
 performs related methods and excels in reconstructing regions exhibiting c
 omplex geometric details e.g. mouth interior and hair.\n\nInterest Area: R
 esearch & Education\n\nRecording: Livestreamed, Recorded\n\nKeyword: Anima
 tion, Geometry, Modeling, Rendering\n\nRegistration Category: Full Confere
 nce, Full Conference Supporter, Virtual Access, Exhibitor Full Conference,
  Wednesday\n\nSession Chair: Xin Tong (Anuttacon)\n\n
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