HorizonNav: Geometry-Guided Video Diffusion for Anticipatory 3D Robot Navigation
cs.RO
Submitted: 2026-10-09
Updated: 2026-10-09
Comments: 8 pages, 2 figures, 4 tables. Submitted to IEEE ICRA 2027
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- ImagiNav: Scalable Embodied Navigation via Generative Visual Prediction and Inverse Dynamics
- Schr"odinger's Navigator: Imagining an Ensemble of Futures for Zero-Shot Object Navigation
- Aerial World Model for Long-horizon Visual Generation and Navigation in 3D Space
- Uncertainty-Aware World Model for Aerial Image-Goal Navigation
- Grounding Generated Videos in Feasible Plans via World Models
- Dream-SLAM: Dreaming the Unseen for Active SLAM in Dynamic Environments
- WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World Models
- Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation
- Can Video Diffusion Model Reconstruct 4D Geometry?
- Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling
- Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
- Wan: Open and Advanced Large-Scale Video Generative Models
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