LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes

Understand

We present LiDAR-EDIT, a novel paradigm for generating synthetic LiDAR data for autonomous driving.

• Our framework edits real-world LiDAR scans by introducing new object layouts while preserving the realism of the background environment.
• Compared to end-to-end frameworks that generate LiDAR point clouds from scratch, LiDAR-EDIT offers users full control over the object layout, including the number, type, and pose of objects, while keeping most of the original real-world background.
• Our method also provides object labels for the generated data.