AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Kirin: Animal Motion Generation from In-the-Wild Video

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

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

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-21T05:51:54.566Z. This is not the publication date.