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AnyStep-WAM: Budget-Aligned Distillation and Adaptive Inference for World Action Models
World-action models (WAMs) couple predictive visual modeling with action generation, typically relying on iterative denoising with a fixed denoising steps. However, manipulation tasks contain actions chunks with varying sensitivity to generation errors: critical actions require precision, while less
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