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About this paper
Boyuan Hou, Xiaoge Cao, Chaofan Zhang, Shuo Wang, Shaowei Cui
DeltaWorld improves action-conditioned robot video prediction by modeling latent changes rather than predicting the next state. Its dynamics model adds predicted increments to latent states, while interaction-aware supervision emphasizes regions around robot-object interactions. Across four tasks and three robot platforms, it lowers FVD to 90.31 from 168.98 and LPIPS to 0.0303 from 0.0440; these are prediction results, not policy-performance tests.
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