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TASM achieves high performance in multi-modal tasks while compressing memory by dynamically adapting to task-specific needs without sacrificing semantic integrity.
Achieve spatially precise control in FPS world models by injecting actions locally, without segmentation labels, enabling zero-shot generalization across games.
Decomposing 4D point cloud videos into spectral frequency bands unlocks superior geometric understanding, boosting performance on action recognition and semantic segmentation.
