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Daniel Holden (Animation Researcher, Ubisoft Montreal)
Pass Type: All Access, GDC Conference + Summits, GDC Conference - Get your pass now!
Vault Recording: TBD
Audience Level: Intermediate
The field of performance capture is quickly changing, with machine learning and large amounts of data making it possible to build performance capture technology that is more powerful and accessible than ever before. Yet, these advancements have also brought their own new and unique challenges. In this talk, Daniel Holden will dig into the details of several new performance capture technologies developed at Ubisoft La Forge, including a neural network used to automatically clean motion capture data, an end-to-end solution for capture of facial animation from video, and a machine learning solution which can generate facial animation from raw audio.
Attendees will learn about the technical details, potential benefits, and practical challenges of a number of machine learning based performance capture technologies.
This presentation is appropriate for anyone with an interest in performance capture technology, animation, or machine learning, as well as producers, technical directors, or artists who are curious about how these technological shifts are affecting the industry.