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Achieving 60 FPS dynamic 4D hand reconstruction from egocentric videos, Hand-4DGS outperforms traditional methods by effectively handling occlusions and rapid motion.
MLLMs can now efficiently process 10K-frame videos without training, by adaptively selecting tokens based on the model's own uncertainty about the content.
