NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. - Seungjun Nah; Radu Timofte; Shuhang Gu; Sungyong Baik; Seokil Hong; Gyeongsik Moon; Sanghyun Son 002; Kyoung Mu Lee; Xintao Wang 002; Kelvin C. K. Chan; Ke Yu; Chao Dong 005; et al. (CVPR Workshops, 2019)

Two-Stage Domain Adapted Training For Better Generalization In Real-World Image Restoration And Super-Resolution. - Cansu Korkmaz; A. Murat Tekalp; Zafer Dogan (ICIP, 2021)

On the Computation of PSNR for a Set of Images or Video. - Onur Keles; Mustafa Akin Yilmaz; Ahmet Murat Tekalp; Cansu Korkmaz; Zafer Dogan (PCS, 2021)

MMSR: Multiple-Model Learned Image Super-Resolution Benefiting from Class-Specific Image Priors. - Cansu Korkmaz; A. Murat Tekalp; Zafer Dogan (ICIP, 2022)

Perception-Distortion Trade-Off in the SR Space Spanned by Flow Models. - Cansu Korkmaz; A. Murat Tekalp; Zafer Dogan; Erkut Erdem; Aykut Erdem (ICIP, 2022)

NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CVPR Workshops, 2024)

Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution. - Cansu Korkmaz; A. Murat Tekalp (CVPR Workshops, 2024)

Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts. - Cansu Korkmaz; A. Murat Tekalp; Zafer Dogan (CVPR, 2024)

Trustworthy Sr: Resolving Ambiguity In Image Super-Resolution Via Diffusion Models And Human Feedback. - Cansu Korkmaz; Ege Çirakman; A. Murat Tekalp; Zafer Dogan (ICIP, 2024)

NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CoRR, 2024)

AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution. - Cansu Korkmaz; Nancy Mehta; Radu Timofte (CoRR, 2025)

Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models. - Cansu Korkmaz; Ahmet Murat Tekalp; Zafer Dogan (CoRR, 2025)