NeRF-To-Real Tester: Neural Radiance Fields as Test Image Generators for Vision of Autonomous Systems
- Laura Weihl(Creator),
- Bilal Wehbe(Creator),
- Andrzej Wąsowski(Creator)
- German Research Center for Artificial Intelligence,
- ,
- ,
- ,
- ,
Dataset:
Dataset Types
Software
Dataset Information
Date made available
2024-11-30Publisher
ZENODODescription
NeRF-To-Real Tester is a testing software package designed to generate test images generated from Neural Radiance Fields (NeRF), created in nerfstudio, and use NeRF-generated images to evaluate image processing Systems Under Test (SUTs). SUTs include various feature extractors like interest point detectors as well as image classifiers. This system assesses SUTs based on several metrics such as repeatability, interest point spread, L2 norm, and cosine similarity.
Cite this dataset
Brief description
Laura Weihl, Bilal Wehbe, Andrzej Wąsowski. (2024). NeRF-To-Real Tester: Neural Radiance Fields as Test Image Generators for Vision of Autonomous Systems. 10.5281/zenodo.10966288
