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NerfBaselines is a framework for evaluating and comparing existing NeRF methods. Currently, most official implementations use different dataset loaders, evaluation protocols, and metrics which renders the comparison of methods difficult. Therefore, this project aims to provide a unified interface for running and evaluating methods on different datasets in a consistent way using the same metrics. But instead of reimplementing the methods, we use the official implementations and wrap them so that they can be run easily using the same interface.
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If you use this code in your research, please cite the following paper:
@article{kulhanek2024nerfbaselines,
title={NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods},
author={Jonas Kulhanek and Torsten Sattler},
year={2024},
journal={arXiv},
}
We want to thank Brent Yi and the NerfStudio Team for helpful discussions regarding the NerfStudio codebase. This work was supported by the Czech Science Foundation (GAČR) EXPRO (grant no. 23-07973X), the Grant Agency of the Czech Technical University in Prague (grant no. SGS24/095/OHK3/2T/13), and by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254).
The NerfBaselines project is licensed under the MIT license. Each implemented method is licensed under the license provided by the authors of the method. For the currently implemented methods, the following licenses apply: