Dmitry V. Dylov

Achieve robust text-to-motion generation for long, compositional prompts by planning in the latent space of pre-trained behavioral foundation models, rather than relying on heavy end-to-end motion generators.

A new generative modeling approach leverages the midpoint symmetry of Flow Matching to define a theoretically grounded and practically effective training objective for one-step generators.