The authors trained a masked diffusion transformer to recover hidden tokens through a small number of parallel denoising steps.
One Model Predicts Robot Futures and Chooses Actions
SUAVE uses masked diffusion over shared discrete tokens to generate video, robot actions, or both with the same model weights.
Big Tech
Rhythm Syed · Jean Mercat · Sedrick Keh · Kushal Arora · Paarth Shah · Aykut Onol · +2 more
Columbia University · Toyota Research Institute
Research Digest··3 min read
Thread:Robot World Models
Syed et al.
Why this paper
From Toyota Research Institute and Columbia University · Part of Robot World Models, now 9 papers
In one line
SUAVE uses a masked diffusion transformer with discrete tokens to unify video, actions, and language into one model.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ✓Limitations stated by the authors (2 noted)
- ·No benchmark numbers found
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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