Desktop-based High-Quality Facial Capture for Everyone

Lattas, Alexandros, Lin, Yiming, Kannan, Jayanth et al. (5 more authors) (2022) Desktop-based High-Quality Facial Capture for Everyone. In: ACM SIGGRAPH 2022 Talks. ACM

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Lattas, Alexandros
  • Lin, Yiming
  • Kannan, Jayanth
  • Ozturk, Ekin
  • Filipi, Luca
  • Guarnera, Claudio (claudio.guarnera@york.ac.uk)
  • Chawla, Gaurav
  • Ghosh, Abhijeet
Copyright, Publisher and Additional Information:

© 2022 Copyright held by the owner/author(s). This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Dates:
  • Published: 24 July 2022
  • Accepted: 12 May 2022
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 12 Aug 2022 10:10
Last Modified: 21 Jan 2025 18:26
Published Version: https://doi.org/10.1145/3532836.3536258
Status: Published
Publisher: ACM
Identification Number: 10.1145/3532836.3536258
Open Archives Initiative ID (OAI ID):

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Filename: 3532836.3536258.pdf

Description: Desktop-based High-Quality Facial Capture for Everyone

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