wenyuqing/panacea
[CVPR2024] Official Repository of Paper "Panacea: Panoramic and Controllable Video Generation for Autonomous Driving"
This project helps automotive engineers and researchers create realistic, controllable driving videos from Bird's-Eye-View (BEV) layout sequences and other conditions. You input structured BEV data (like bounding boxes, object depths, road maps, and camera poses) along with optional conditions like weather or time of day. The output is a high-fidelity, multi-view video that simulates diverse driving scenarios, even rare or extreme ones. It's used by professionals developing and testing autonomous driving systems.
254 stars. No commits in the last 6 months.
Use this if you need to generate synthetic, controllable video datasets to train and evaluate autonomous driving perception models, especially for rare or challenging scenarios.
Not ideal if you are looking to process existing video footage or if you don't have access to BEV layout data for your desired scenarios.
Stars
254
Forks
15
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 15, 2024
Commits (30d)
0
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