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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results., , , , , , , , , and 80 other author(s). CVPR Workshops, page 2077-2088. Computer Vision Foundation / IEEE, (2020)AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results., , , , , , , , , and 43 other author(s). CoRR, (2022)NTIRE 2022 Burst Super-Resolution Challenge., , , , , , , , , and 56 other author(s). CVPR Workshops, page 1040-1060. IEEE, (2022)Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images., , and . NeurIPS, page 1463-1473. (2019)NTIRE 2019 Challenge on Real Image Denoising: Methods and Results., , , , , , , , , and 48 other author(s). CVPR Workshops, page 2197-2210. Computer Vision Foundation / IEEE, (2019)AIM 2020 Challenge on Learned Image Signal Processing Pipeline., , , , , , , , , and 29 other author(s). CoRR, (2020)NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results., , , , , , , , , and 18 other author(s). CoRR, (2021)Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior., , and . CVPR, page 10255-10264. Computer Vision Foundation / IEEE, (2019)NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results., , , , , , , , , and 125 other author(s). CVPR Workshops, page 1922-1960. IEEE, (2023)NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results., , , , , , , , , and 68 other author(s). CVPR Workshops, page 1220-1237. IEEE, (2022)