EA Studies the Use of Deep Learning for Combat Animations

EA has recently presented their research on how deep learning can be used to generate more natural-looking combat animation for video games. The paper was prepared for this year's SIGGRAPH. 

The project focuses on interactively synthesizing novel combinations and variations of character movements interactive which is still quite a complex task that requires tons of manual work. The team described a deep learning framework that allows generating a large variety of martial arts movements in a controllable manner using raw motion capture data.

"Our method imitates animation layering using neural networks with the aim to overcome typical challenges when mixing, blending and editing movements from unaligned motion sources," wrote the team. "The system can be used for offline and online motion generation alike, provides an intuitive interface to integrate with animator workflows, and is relevant for real-time applications such as computer games."

You can learn more about the project on GitHub. Don't forget to join our new Reddit page, our new Telegram channel, follow us on Instagram and Twitter, where we are sharing breakdowns, the latest news, awesome artworks, and more.