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PRODID:Linklings LLC
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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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TZNAME:JST
DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20260817T171531Z
LOCATION:G602\, G Block\, Level 6
DTSTART;TZID=Asia/Tokyo:20241205T110000
DTEND;TZID=Asia/Tokyo:20241205T124500
UID:siggraphasia_SIGGRAPH Asia 2024_sess221_crs_116@linklings.com
SUMMARY:Social Presence with Codec Avatars
DESCRIPTION:Julieta Martinez and Javier Romero (Reality Labs Research) and
  Shunsuke Saito (Meta)\n\nOur course is devoted to telepresence: the tasks
  of (a) generating realistic human representations with a “decoder”, and (
 b) driving (animating with your body) them with an “encoder”.\n\nRegarding
  generation, we will cover the process of converting a set of high quality
  captures into realistic digital human bodies, from data collection and pr
 ocessing to model learning and rendering.\n\nWe will also cover the often 
 overlooked part of _driving_ those models from a VR headset. This process 
 includes capturing and processing images from headset cameras, generating 
 synthetic data that links those incomplete images to the complete state of
  the person, and training a model that extracts the driving signal require
 d to drive the decoder.\n\nA key limiting factor to the development of tel
 epresence experiences is a large corpus of high-quality human data to feed
  learning algorithms, which is particularly lacking in academia. In this r
 egard, we will present two new datasets: Avatar-256, composed of millions 
 of calibrated images of 256 subjects captured in a high resolution dome fo
 r which, besides, every subject has also been captured from a head-mounted
  display, allowing researchers in academia to build their own encoders and
  decoders for telepresence for the first time. The second dataset, Goliath
 -4, features captures of the same subjects under different conditions (e.g
 . casual and tight-fitted clothing) captured with different devices (relig
 htable low volume light stage, large volume photometric scanner, smartphon
 e, and head-mounted devices), enabling research into full-body telepresenc
 e. We will also present open implementations of baseline, yet state-of-the
 -art algorithms that the audience can use to start working on these challe
 nging problems. We believe that an event in which the science and data rel
 ated to realistic telepresence are released to the public will help foster
  a vibrant research community beyond the few companies that can work on th
 is problem at the moment.\n\nRegistration Category: Full Access, Full Acce
 ss Supporter\n\nLanguage Format: English Language\n\n
URL:https://asia.siggraph.org/2024/program/?id=crs_116&sess=sess221
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