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GAUGE introduces a measurement-grounded benchmark to evaluate physical fidelity in physics engines and generative video world models. It addresses limitations of prior evaluations that rely on perceptual similarity or human judgment by focusing on physical principles and parameters.
GAUGE introduces a measurement-grounded benchmark to evaluate physical fidelity in physics engines and generative video world models. It addresses limitations of prior evaluations that rely on perceptual similarity or human judgment by focusing on physical principles and parameters.
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Physics engines facilitate large-scale training and evaluation for embodied intelligence, while generative video world models are emerging as implicit simulators of future states and interactions. However, existing evaluations of physical fidelity are often conducted in isolation and rely heavily on perceptual...
Accurate assessment of physical fidelity is crucial for training embodied intelligence and improving video world models as simulators of future states. GAUGE provides a more objective and detailed evaluation framework to advance these technologies.
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