TACD: Distilling Efficient Text-to-Motion Models via Terminal Amplification Control
Recent text-to-motion models have improved motion quality and instruction following, yet many-step denoising and large model components make deployment slow and memory-intensive. We present Terminal-Amplification-Controlled Distillation (TACD), an on-policy approach for training efficient motion generators from text pr...
Wei-Jin Huang, Yuan-Ming Li, Kun-Yu Lin et al.
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