TL;DR of the paper, generated automatically.

DreamX turns a video diffusion model into a latent action learner.

• Compression: latent frames cut 300x, from 1,200 tokens down to 4.
• Transfer: actions work across human and robot videos, zero-shot.
• Results: paper claims state-of-the-art on LARY-Bench among latent action models.