SOURCE-LINKED INTELLIGENCE
Kirin: Animal Motion Generation from In-the-Wild Video
Understanding animal motion is fundamental to modeling animal behavior and biomechanics, yet progress in this area lags far behind human motion research due to the scarcity of high-quality motion data. While human motion can be captured in controlled environments, it is impractical for most animal species, resulting in small, domain-limited datasets that restrict downstream applications such as animation. To address this challenge, we introduce Kirin, a framework that reconstructs motion from video, learns motion priors at scale, and generates realistic motion that can be directly applied to a
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T19:56:15.000Z
First collected: 2026-09-21T05:51:54.566Z. This is not the publication date.