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Achieving long-range consistency in video generation is now feasible with a hierarchical token approach that balances detail and computational efficiency.
Forget finetuning video models for each robot: a single, action-free video world model can drive diverse robots when paired with a carefully designed inverse dynamics model.
Encoder-decoder architectures can beat decoder-only transformers in novel view synthesis, overturning conventional wisdom with a compute-optimal design (SVSM) that slashes training costs.
