Author

Hsueh-Ti Derek Liu

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Preprint Sep 2026

Learned Localized Mesh Refinement

We present a neural method for adaptive triangle mesh refinement, in which an autoregressive model adds geometric detail to selected regions of an input mesh while leaving the rest unchanged, a key capability for efficiently allocating mesh budget. Existing upsampling methods struggle to achieve this. Classical subdivi...

Xiao Zhan, Chrystiano Araújo, Kang-Le Deng et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Synthesizing Reactive Character Behaviors for Continuous Games via Programmatic Policy Search

We present a method for synthesizing reactive character behaviors for continuous games as compact, human-readable programs. Game AI practice still relies heavily on manually authored behavior trees, state machines, and scripts, while academic reinforcement learning typically produces opaque neural controllers that are...

Maxim Gumin, Hsueh-Ti Derek Liu, Victor B. Zordan et al. · 0 citations

Preprint Aug 2026

BLARM: Animating 3D Objects from Video via Blending Latent Rigid Motion Primitives

We introduce BLARM, a feed-forward method for video-driven 3D mesh animation. Given a monocular video and a static object mesh, BLARM predicts a temporally coherent animated mesh whose motion follows the video. Rather than relying on explicit rigs or directly regressing high-dimensional vertex motion, we represent anim...

Pradyumn Goyal, Yizhak Ben-Shabat, Hsueh-Ti Derek Liu et al. · 0 citations