GAF creates 4D dynamic scene models by adding motion to 3D Gaussians, enabling better reconstruction and 7.3% higher success in robotic tasks.
Uniter: Universal image-text representation learning
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LogicVista is a new benchmark dataset with 448 visual logic questions that evaluates multimodal LLMs on five reasoning tasks covering nine capabilities.
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GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation
GAF creates 4D dynamic scene models by adding motion to 3D Gaussians, enabling better reconstruction and 7.3% higher success in robotic tasks.