Training deep learning based denoisers without ground truth data. - Shakarim Soltanayev; Se Young Chun (NeurIPS, 2018)

NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. - Abdelrahman Abdelhamed; Radu Timofte; Michael S. Brown; Songhyun Yu; Bumjun Park; Jechang Jeong; Seung-Won Jung; Dong-Wook Kim; Jae Ryun Chung; Jiaming Liu; Yuzhi Wang; Chi-Hao Wu 001; et al. (CVPR Workshops, 2019)

Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior. - Magauiya Zhussip; Shakarim Soltanayev; Se Young Chun (CVPR, 2019)

Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images. - Magauiya Zhussip; Shakarim Soltanayev; Se Young Chun (NeurIPS, 2019)

Theoretical analysis on Noise2Noise using Stein's Unbiased Risk Estimator for Gaussian denoising: Towards unsupervised training with clipped noisy images. - Magauiya Zhussip; Shakarim Soltanayev; Se Young Chun (CoRR, 2019)

On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein's Unbiased Risk Estimator. - Shakarim Soltanayev; Raja Giryes; Se Young Chun; Yonina C. Eldar (ICASSP, 2020)

Unsupervised Training of Denoisers for Low-Dose CT Reconstruction Without Full-Dose Ground Truth. - Kwanyoung Kim; Shakarim Soltanayev; Se Young Chun (IEEE J. Sel. Top. Signal Process., 2020)

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Meisong Zheng; Qunliang Xing; Minglang Qiao; Mai Xu; Lai Jiang; Huaida Liu; Ying Chen 011; Youcheng Ben; Xiao Zhou; Chen Fu; et al. (CVPR Workshops, 2022)

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Meisong Zheng; Qunliang Xing; Minglang Qiao; Mai Xu; Lai Jiang; Huaida Liu; Ying Chen 011; Youcheng Ben; Xiao Zhou; Chen Fu; et al. (CoRR, 2022)