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MADrive: Memory-Augmented Driving Scene Modeling

Polina Karpikova, Daniil Selikhanovych, Kirill Struminsky, Ruslan Musaev, Maria Golitsyna, Dmitry Baranchuk

2025-06-27

MADrive: Memory-Augmented Driving Scene Modeling

Summary

This paper talks about MADrive, a system that improves how autonomous cars understand and recreate driving scenes by using a memory bank of 3D car models to make changes in those scenes look more realistic.

What's the problem?

The problem is that when self-driving cars try to create or imagine new driving scenarios, their generated images can look fake or unclear because they don’t have enough realistic details, especially with the cars in the scene.

What's the solution?

The researchers built MADrive to store many realistic 3D car models in an external memory and then match and add these models into the scenes the system generates. This helps the scenes look more like real life, especially when cars and their positions are changed.

Why it matters?

This matters because making driving scenes look more real helps autonomous vehicles better understand and predict what’s happening around them, which leads to safer and more reliable self-driving technology.

Abstract

MADrive enhances scene reconstruction for autonomous driving by integrating visually similar 3D car assets from an external memory bank to achieve photorealistic synthesis of altered scenarios.