VGGTWorld-VLA: Intent-Conditioned 3D World Evolution for Autonomous Driving

arXiv:2610.11161 · cs.CV, cs.RO · Submitted 2026-10-08 · Read on arXiv

cs.CV, cs.RO

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• World Model — 21× in this paper · explained in 7 episodes
• Accuracy — 13× in this paper · explained in 1 episode
• Transformer — 11× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Alignment — 5× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Ablation Studies — 3× in this paper · explained in 1 episode
• Visual Geometry Grounded Transformer — 3× in this paper
• Adaptive Reasoning — 2× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• CVF International Conference on Computer Vision — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Grounding — 1× in this paper · explained in 3 episodes

Sources

• DynamicVGGT: Learning Dynamic Point Maps for 4D Scene Reconstruction in Autonomous Driving
• CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving
• DriveVGGT: Calibration-Constrained Visual Geometry Transformers for Multi-Camera Autonomous Driving
• DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving
• DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
• VGGDrive: Empowering Vision-Language Models with Cross-View Geometric Grounding for Autonomous Driving
• Qwen-Image Technical Report
• WCog-VLA: A Dual-Level World-Cognitive Vision-Language-Action Model for End-to-End Autonomous Driving
• DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale

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