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SceneBloom is introduced, an agentic framework that combines visual layout sampling with contract-guided 3D compilation that attains the highest visual quality and physical stability among the compared methods and is the only method with no detected mesh collisions and out-of-bounds objects.
Cascade world-action models (WAMs) use predicted visual futures to condition robot actions, but inherit costly iterative inference from diffusion-pretrained experts. We ask what a single-step predicted future must preserve to support accurate single-step action prediction. In the evaluated WAM, resampling video noise h...
Temporally Conditioned Memory-Fusion Policies (TFP), a lightweight memory-action framework for VLA backbones, is introduced and suggests that compact, event-sensitive memory dynamics can improve VLA policies under occlusion, visual perturbation, and stage-dependent task structure.
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