You've been logged out of GDC Vault since the maximum users allowed for this account has been reached. To access Members Only content on GDC Vault, please log out of GDC Vault from the computer which last accessed this account.

Click here to find out about GDC Vault Membership options for more users.

close

Session Name:

Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks

Overview:

In this presentation Antti Herva, Lead Character Technical Artist at Remedy Entertainment will present a machine learning solution that enables cost efficient creation of large amounts of high quality facial animation for digital doubles in games. To this end, Remedy Entertainment, Nvidia and the University of Southern California's recently researched "Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks" was published as part of the Symposium on Computer Animation in 2017. Topics covered in this session include recording a facial animation dataset for an actor, setting up a deep learning project, preprocessing the data, training a deep convolutional neural network, evaluating the results, a summary of the findings and a discussion on potential future work.

Did you know free users get access to 30% of content from the last 2 years?


Get your team full access to the most up to date GDC content

  • GDC 2018
  • Antti Herva
  • Remedy Entertainment
  • free content
  • Programming
  • Programming