Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset

Author:

Yue HuanjingORCID,Zhang ZhimingORCID,Yang JingyuORCID

Publisher

Springer Nature Switzerland

Reference41 articles.

1. Abdelhamed, A., Afifi, M., Timofte, R., Brown, M.S.: NTIRE 2020 challenge on real image denoising: dataset, methods and results. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 496–497 (2020)

2. Abdelhamed, A., Timofte, R., Brown, M.S.: NTIRE 2019 challenge on real image denoising: methods and results. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (2019)

3. Agustsson, E., Timofte, R.: NTIRE 2017 challenge on single image super-resolution: dataset and study. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp. 126–135 (2017)

4. Bhat, G., Danelljan, M., Van Gool, L., Timofte, R.: Deep burst super-resolution. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 9209–9218 (2021)

5. Brooks, T., Mildenhall, B., Xue, T., Chen, J., Sharlet, D., Barron, J.T.: Unprocessing images for learned raw denoising. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 11036–11045 (2019)

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