AdaptSR: Rank-Aware Low-Rank Adaptation for Real-World Super-Resolution
Cansu Korkmaz, Nancy Mehta, Radu Timofte. (Under Review) ICLR 2026
AdaptSR: Rank-Aware Low-Rank Adaptation for Real-World Super-Resolution
Cansu Korkmaz, Nancy Mehta, Radu Timofte. (Under Review) ICLR 2026
FraIR: Fourier Recomposition Adapter for Image Restoration
Cansu Korkmaz, Nancy Mehta, Radu Timofte. (Under Review) ICLR 2026
Image-Difficulty-Aware Evaluation of Super-Resolution Models
Atakan Topaloglu, Ahmet Bilican, Cansu Korkmaz, A. Murat Tekalp. ICIP Workshops 2025
Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models
Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan. IEEE TCSVT 2025
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan. CVPR 2024
Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
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 Cirakman, A. Murat Tekalp, Zafer Dogan. ICIP 2024
NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results
Zheng Chen, Zongwei Wu, Eduard Zamfir, and others (including Cansu Korkmaz, A. Murat Tekalp). CVPR Workshops 2024
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
MMSR: Multiple-Model Learned Image Super-Resolution Benefiting from Class-Specific Image Priors
Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan. ICIP 2022
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
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
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results
Seungjun Nah, Radu Timofte, Shuhang Gu, and others (including Cansu Korkmaz). CVPR Workshops 2019