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J. Jeon

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#machine learning Mar 2026

From Diffusion To Flow: Efficient Motion Generation In MotionGPT3

Comparing diffusion and rectified flow objectives within the MotionGPT3 framework suggests that several known benefits of rectified flow objectives do extend to continuous-latent text-to-motion generation, highlighting the importance of the training objective choice in motion priors.

Jaymin Ban, J. Jeon, Sang-jun Jeong · 1 citation