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Generating visually faithful driving simulations just got a boost with a novel framework that stabilizes error accumulation and enhances realism in closed-loop scenarios.
Positional leakage in 3D masked autoencoders can be mitigated, leading to significantly improved semantic representation quality.
Ditch slow, multi-step video generation: S-VAM distills the structured generative priors of multi-step denoising into a single forward pass for real-time robot action prediction.
