NeRF-SR: High Quality Neural Radiance Fields using Supersampling

Author:

Wang Chen1,Wu Xian2,Guo Yuan-Chen1,Zhang Song-Hai1,Tai Yu-Wing2,Hu Shi-Min1

Affiliation:

1. Tsinghua University, Beijing, China

2. Kuaishou Technology, Beijing, China

Publisher

ACM

Reference69 articles.

1. Kara-Ali Aliev , Artem Sevastopolsky , Maria Kolos , Dmitry Ulyanov , and Victor Lempitsky . 2020 . Neural point-based graphics. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020 , Proceedings, Part XXII 16 . Springer, 696--712. Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, and Victor Lempitsky. 2020. Neural point-based graphics. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XXII 16. Springer, 696--712.

2. Jonathan T. Barron , Ben Mildenhall , Matthew Tancik , Peter Hedman , Ricardo Martin-Brualla , and Pratul P. Srinivasan . 2021 . Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. In 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021 , Montreal, QC, Canada, October 10--17 , 2021 . IEEE, 5835--5844. https://doi.org/10.1109/ICCV48922.2021.00580 Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan. 2021. Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. In 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10--17, 2021. IEEE, 5835--5844. https://doi.org/10.1109/ICCV48922.2021.00580

3. Learning Continuous Image Representation with Local Implicit Image Function

4. Learning Implicit Fields for Generative Shape Modeling

5. Extreme View Synthesis

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