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The Hong Kong University of Science and Technology (Guangzhou)
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HandFlow reduces world-space pose error by over 30% while reconstructing 150 frames at 47 fps, setting a new standard for 4D hand recovery.
Diffusion LLMs can achieve up to 6.1x higher throughput than autoregressive models by dynamically adjusting decoding granularity based on real-time load, a feat unattainable with fixed-block approaches.
