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Purdue University
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DREAM-Chunk transforms action chunking by leveraging latent world models to enhance robustness against stochastic dynamics without the need for policy retraining.
Achieving 30.7% faster rendering with only 14.8% of the model size, this method revolutionizes the efficiency of novel view synthesis in sparse-view scenarios.
