DreamDojo is a foundation world model pretrained on the largest human video dataset to date that uses continuous latent actions to transfer interaction knowledge and achieves controllable physics simulation after robot post-training.
Egocontrol: Controllable egocentric video generation via 3d full-body poses.arXiv preprint arXiv:2511.18173, 2025
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Converting exocentric video to egocentric format via body-pose extraction and kinematics prior enables training of action-conditioned egocentric world models that improve prediction quality and goal-directed planning.
A new occlusion-aware control module generates high-fidelity egocentric videos from sparse 3D hand joints, supported by a million-clip dataset and cross-embodiment benchmark.
citing papers explorer
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DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
DreamDojo is a foundation world model pretrained on the largest human video dataset to date that uses continuous latent actions to transfer interaction knowledge and achieves controllable physics simulation after robot post-training.
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EgoExo-WM: Unlocking Exo Video for Ego World Models
Converting exocentric video to egocentric format via body-pose extraction and kinematics prior enables training of action-conditioned egocentric world models that improve prediction quality and goal-directed planning.
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Controllable Egocentric Video Generation via Occlusion-Aware Sparse 3D Hand Joints
A new occlusion-aware control module generates high-fidelity egocentric videos from sparse 3D hand joints, supported by a million-clip dataset and cross-embodiment benchmark.