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Ep#21 TesserAct: Learning 4D Embodied World Models

RoboPapers

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Exploring 4D World Models in Robotics

This chapter discusses the innovative 4D world model named TesserAct, emphasizing its ability to incorporate time and predict future states for robotic applications. It covers the architecture, training challenges, and the intricate process of annotating datasets, showcasing the model's potential in generating photorealistic videos through advanced techniques.

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