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Cansu Korkmaz

4 papers hereh-index 6301 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedNTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

54 citations · 54 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CV2026★ 54 cited

NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen, Zongwei Wu, Eduard Zamfir +85

This paper reviews the NTIRE 2024 challenge on image super-resolution (×4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating…

cs.CV2025

Image-Difficulty-Aware Evaluation of Super-Resolution Models

Atakan Topaloglu, Ahmet Bilican, Cansu Korkmaz +1

Image super-resolution models are commonly evaluated by average scores (over some benchmark test sets), which fail to reflect the performance of these models on images of varying d…

cs.CV2025

Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models

Cansu Korkmaz, Ahmet Murat Tekalp, Zafer Dogan

Super-resolution (SR) is an ill-posed inverse problem with many feasible solutions consistent with a given low-resolution image. On one hand, regressive SR models aim to balance fi…

eess.IV2025

AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution

Cansu Korkmaz, Nancy Mehta, Radu Timofte

Recovering high-frequency details and textures from low-resolution images remains a fundamental challenge in super-resolution (SR), especially when real-world degradations are comp…

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