Guan Huang

2 papers · Latest: April 10, 2026

VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis

VAG is a dual-stream flow-matching framework that jointly generates aligned video and action pairs for embodied data synthesis, improving robot policy generalization.

2604.09330Apr 10, 2026

Robotics

ViVa: A Video-Generative Value Model for Robot Reinforcement Learning

ViVa is a video-generative value model that improves robot reinforcement learning by using a pretrained video generator to estimate future dynamics and task value.

2604.08168Apr 9, 2026

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