DVG-WM disentangles dynamics learning and visual synthesis in video world models using flow matching and latent degradation to achieve faster inference up to 3.97 times with improved quality on LIBERO and real-world robotic platforms.
arXiv preprint arXiv:2602.03793 (2026)
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ACWM-Phys is a controllable simulator benchmark with in- and out-of-distribution protocols for evaluating action-conditioned world models across rigid, kinematic, deformable, and particle dynamics.
citing papers explorer
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DVG-WM: Disentangled Video Generation Enables Efficient Embodied World Model for Robotic Manipulation
DVG-WM disentangles dynamics learning and visual synthesis in video world models using flow matching and latent degradation to achieve faster inference up to 3.97 times with improved quality on LIBERO and real-world robotic platforms.
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ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models
ACWM-Phys is a controllable simulator benchmark with in- and out-of-distribution protocols for evaluating action-conditioned world models across rigid, kinematic, deformable, and particle dynamics.
- Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond