Daniel Holden studies a new kind of neural network that can be used to create a character controller suitable for games.
Daniel Holden, a researcher at Ubisoft Montreal, will be presenting Phase-Functioned Neural Networks for Character Control at this year’s SIGGRAPH. Researcher studies a new kind of neural network called a “Phase-Functioned Neural Network” that can be used to create a character controller suitable for games. This controller would require very little memory, is fast to compute at runtime, and generates high quality motion in many complex situations.
This paper can really push the boundaries of the industry and change the way characters are controlled. You can watch the video on this idea below: