Drive3R: Block-wise Streaming Geometric Foundation Models for Autonomous Driving
cs.CV
Submitted: 2026-10-10
Updated: 2026-10-10
Project page: https://silence-ai423.github.io/Drive3R
Terminology
Sources
- TTT3R: 3D Reconstruction as Test-Time Training
- LongStream: Long-Sequence Streaming Autoregressive Visual Geometry
- VGGT-Long: Chunk it, Loop it, Align it -- Pushing VGGT's Limits on Kilometer-scale Long RGB Sequences
- LRM: Large Reconstruction Model for Single Image to 3D
- Depth Anything 3: Recovering the Visual Space from Any Views
- FastVGGT: Training-Free Acceleration of Visual Geometry Transformer
- UniSplat: Unified Spatio-Temporal Fusion via 3D Latent Scaffolds for Dynamic Driving Scene Reconstruction
- $\pi^3$: Permutation-Equivariant Visual Geometry Learning
- ReconDrive: Fast Feed-Forward 4D Gaussian Splatting for Autonomous Driving Scene Reconstruction
- InfiniteVGGT: Visual Geometry Grounded Transformer for Endless Streams
- Efficient and Explainable End-to-End Autonomous Driving via Masked Vision-Language-Action Diffusion
- Review of Feed-forward 3D Reconstruction: From DUSt3R to VGGT
- OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models
- AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
- Streaming 4D Visual Geometry Transformer
- DVGT: Driving Visual Geometry Transformer
- DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale
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