SOURCE-LINKED INTELLIGENCE
GaussianDream++: Efficient 3D Gaussian World Modeling for Robotic Manipulation
Vision-Language-Action (VLA) policies have advanced language-conditioned robotic manipulation, yet action-imitation objectives provide only weak supervision for metric 3D structure and short-horizon physical evolution. Geometry-enhanced policies mainly improve current-scene grounding, whereas predictive policies often model future dynamics in RGB or latent spaces and may incur substantial deployment cost. GaussianDream demonstrates that training-time current Gaussian reconstruction and future Gaussian prediction provide effective 3D supervision, but its dense VGGT/TGE-based prefix jointly carr
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-26T11:41:55.000Z
First collected: 2026-09-21T09:22:01.459Z. This is not the publication date.