Reinforcement Learning 04 : Motion Fields For Interactive Character Animation.
Автор: Animation Tech
Загружено: 2025-10-06
Просмотров: 692
Описание:
In this video, I reimplement the approach described in the paper “Motion Fields for Interactive Character Animation”. This method introduced the idea of representing motion as a continuous field, allowing characters to seamlessly respond to user input by locally blending nearby motion samples. It’s a foundational technique that paved the way for modern approaches like motion matching, making it one of the most influential papers in interactive animation.
Even though it was published back in 2010, it remains highly relevant and frequently cited in current research, and I finally had the chance to implement it.
This video is part of my series on reinforcement learning and animation. If you’re interested in how these classic ideas evolved into today’s state-of-the-art systems, make sure to check out the rest of the series and stay tuned for more.
As always, the source code is available on GitHub:
https://github.com/JeromeEippers/Anim...
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