The Fourth Challenge on Image Super-Resolution (×4) at NTIRE 2026: Benchmark Results and Method Overview
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Abstract (arXiv)
This paper presents the NTIRE 2026 image super-resolution (×4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs generated through bicubic downsampling with a ×4 scaling factor. The objective is to develop effective super-resolution solutions and analyze recent advances in the field. To reflect the evolving objectives of image super-resolution, the challenge includes two tracks: (1) a restoration track, which emphasizes pixel-wise fidelity and ranks submissions based on PSNR; and (2) a perceptual track, which focuses on visual realism and evaluates results using a perceptual score. A total of 194 participants registered for the challenge, with 31 teams submitting valid entries. This report summarizes the challenge design, datasets, evaluation protocol, main results, and methods of participating teams. The challenge provides a unified benchmark and offers insights into current progress and future directions in image super-resolution.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 46 of its 75 references that are in the map. First posted on arXiv 16 Apr 2026.
Builds on
46 of 75 references.
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Citing papers per year: 2026: 10.
10 papers.
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- 2026The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview23 Apr 2026
- 2026Low Light Image Enhancement Challenge at NTIRE 202619 Apr 2026
- 2026The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview19 Apr 2026
- 2026NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge Report18 Apr 2026