Static-Dynamic Disentanglement for Efficient Multi-Frame Vision-Language-Action Models

Published in NeurIPS 2026, Poster, 2026

W. Qiu*, H. Lei*, T. Huang, A. Feng, R. Ying

DySta paper overview

This work investigates efficient multi-frame visual representation for vision-language-action models by separating static and dynamic information.

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