DriveTok: 3D Driving Scene Tokenization for Unified Multi-View Reconstruction and Understanding | ScienceToStartup | ScienceToStartup

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References (64)

[1]

OmniNWM: Omniscient Driving Navigation World Models

2025Bohan Li, Zhuang Ma et al.

[2]

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving

2025Yingyan Li, Shuyao Shang et al.

[3]

DINOv3

2025

Founder's Pitch

"DriveTok offers a unified 3D scene tokenization method for efficient multi-view reconstruction and understanding in autonomous driving."

3D Computer Vision•Score: 7•View PDF ↗

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DriveTok: 3D Driving Scene Tokenization for Unified Multi-View Reconstruction and Understanding

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References (64)

Founder's Pitch

"DriveTok offers a unified 3D scene tokenization method for efficient multi-view reconstruction and understanding in autonomous driving."

Commercial Viability Breakdown

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DriveTok: 3D Driving Scene Tokenization for Unified Multi-View Reconstruction and Understanding

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References (64)

Founder's Pitch

"DriveTok offers a unified 3D scene tokenization method for efficient multi-view reconstruction and understanding in autonomous driving."

Commercial Viability Breakdown

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