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MotorNerve: A Character Animation System Using Machine Learning (Presented by Tencent Games)
Yuchen Liao (Senior Engine Programmer, TiMi Studio Group, Tencent Games)
Songnan Li (Deputy Director, Machine Learning Team , TiMi Studio Group, Tencent Games)
Location: Room 3022, West Hall
Date: Wednesday, March 20
Time: 11:30 am - 12:00 pm
Pass Type: All Access Pass, Core Pass, Summits Pass, Expo Pass, Audio Pass, Indie Games Summit Pass - Get your pass now!
Topic: Programming
Format: Sponsored Session
Vault Recording: Video
Audience Level: All
This presentation will introduce to you a character animation system using machine learning, dubbed MotorNerve, which implements two core character animation functions: locomotion control and transition animation generation. First, by combining Motion Matching and Learned Motion Matching technologies, MotorNerve achieves high-quality, low-consumption locomotion control while speeding up the tuning process for Learned Motion Matching. Secondly, MotorNerve also implements an inhouse Motion In-Betweening (MIB) algorithm, which uses a variational autoencoder to encode leg movements, significantly improving the foot skating problem of existing methods. This method, a joint work by Zhejiang University and TiMi Studio Group, a Tencent Games studio, has been published in SIGGRAPH 2022. MotorNerve applies MIB to interactive animation scenarios, generating high-quality transition animations while saving the project costs.
Takeaway
You will gain a better understanding of the principles of Motion Matching and Learned Motion Matching technologies and their applications in locomotion control systems; at the same time, you will also learn how Motion In-Betweening technology can improve the quality of transition animations.
Intended Audience
The lecture content will be progressive, and practitioners or enthusiasts of animation technology or machine learning technology are welcome to participate.
