RegNeRF

Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs

Michael Niemeyer1,2,3 Jonathan T. Barron3 Ben Mildenhall3
Mehdi S. M. Sajjadi3 Andreas Geiger1,2 Noha Radwan3
1Max Planck Institute for Intelligent Systems 2University of Tübingen 3Google Research
CVPR 2022 (oral)

Comparisons

LLFF Dataset with 3 Input Views

DTU Dataset with 3 Input Views

LLFF Dataset with 6 Input Views

DTU Dataset with 6 Input Views

LLFF Dataset with 9 Input Views

DTU Dataset with 9 Input Views

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Citation

If you want to cite our work, please use:

        @InProccedings{Niemeyer2021Regnerf,
          author    = {Michael Niemeyer and Jonathan T. Barron and Ben Mildenhall and Mehdi S. M. Sajjadi and Andreas Geiger and Noha Radwan},  
          title     = {RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs},
          booktitle = {Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)},
          year      = {2022},
        }