FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
CVPR 2023

Jiawei Yang
UC, Los Angeles 		Marco Pavone
Nvidia Research
Stanford University 		Yue Wang
Nvidia Research

Comparisons

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LLFF Dataset with 3 Input Views

mipNeRF RGB
RegNeRF RGB
Ours RGB
mipNeRF depth median
RegNeRF depth median
Ours depth median

DTU Dataset with 3 Input Views

mipNeRF RGB
RegNeRF RGB
Ours RGB
mipNeRF depth median
RegNeRF depth median
Ours depth median
mipNeRF RGB
RegNeRF RGB
Ours RGB
mipNeRF depth median
RegNeRF depth median
Ours depth median

LLFF Dataset with 6 Input Views

mipNeRF
RegNeRF
Ours
mipNeRF depth median
RegNeRF depth median
Ours depth median

DTU Dataset with 6 Input Views

mipNeRF RGB
RegNeRF RGB
Ours RGB
mipNeRF depth median
RegNeRF depth median
Ours depth median
mipNeRF
RegNeRF
Ours
mipNeRF depth median
RegNeRF depth median
Ours depth median

LLFF Dataset with 9 Input Views

mipNeRF RGB
RegNeRF RGB
Ours RGB
mipNeRF depth median
RegNeRF depth median
Ours depth median

DTU Dataset with 9 Input Views

mipNeRF RGB
RegNeRF RGB
Ours RGB
mipNeRF depth median
RegNeRF depth median
Ours depth median
mipNeRF RGB
RegNeRF RGB
Ours RGB
mipNeRF depth median
RegNeRF depth median
Ours depth median


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Citation

Consider citing us if you find this project is helpful.
@InProceedings{yang2022freenerf,
  author = {Jiawei Yang and Marco Pavone and Yue Wang},
  title = {FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (CVPR)},
  year = {2023},
}

Acknowledgement

This webpage integrates components from many websites, including RefNeRF, RegNeRF, DreamFusion, and Richard Zhang's template. We sincerely thank the authors for their great work and websites.