StressDream: Steering Video World Models
for Robust Policy Evaluation and Improvement
Junwon Seo1,
Sushant Veer2,
Ran Tian2,
Wenhao Ding2,
Apoorva Sharma2,
Karen Leung2,3,
Edward Schmerling2,
Marco Pavone2,4,
Andrea Bajcsy1
1 Carnegie Mellon University
2 NVIDIA Research
3 University of Washington
4 Stanford University
We present StressDream, an inference-time method that optimizes diffusion noise to steer video world models toward plausible, high-impact outcomes — enabling robust evaluation and improvement of robotic policies.