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Character Animation Using Phase-Functioned Neural Network (Presented by NVIDIA)

Sponsor Speakers:

Eric Harper (Solutions Architect Deep Learning, NVIDIA)

Miro Enev (Sr. Solution Architect Deep Learning, NVIDIA)

Location: Room 3009, West Hall

Date: Friday, March 23

Time: 1:30pm - 3:30pm

Pass Type: All Access, GDC Conference + Summits, GDC Conference, GDC Summits, Expo Plus, Audio Conference + Tutorial, Educators Summit, Indie Games Summit - Get your pass now!

Topic: Programming

Format: Sponsored Session

Vault Recording: Not Recorded

Audience Level: All

Lifelike animation is hard to describe, but easy to identify. In this lab, you will train a phase functioned neural network to animate characters to learn to:

Maintain smooth animation over various terrains
Prepare data for training using motion capture data
Teach an advanced network to understand the animation sequence and break down the character motion into phases to make smooth transition

Upon completion, you will have the skills to train 3D characters by exploiting new advanced techniques in neural networks.

Note, a laptop is required to attend this training.


In this lab, you will train a phase functioned neural network to get animated characters to learn.

Intended Audience

Developers who are interested in applying AI to game development

Creatives who want to see how AI can make game characters more human-like

Project Managers to see how AI can speed up the workflow