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Transforming static avatars into dynamic, realistic representations could redefine the standards for avatar realism in virtual environments.
SPARROW achieves effective black-box optimization with minimal evaluations by decoupling the generative prior from the reward signal, addressing a critical challenge in low-budget scenarios.
Finally, a way to guarantee intersection-free multi-object SDFs without finicky loss weighting or architectural surgery.
