Latent diffusion over DINO and SigLIP features, with iterative imagination-guided action refinement, improves robot manipulation success rates on LIBERO-LONG, CALVIN D-D, and real-world tasks.
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LaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation
Latent diffusion over DINO and SigLIP features, with iterative imagination-guided action refinement, improves robot manipulation success rates on LIBERO-LONG, CALVIN D-D, and real-world tasks.