The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
- URL: http://arxiv.org/abs/2604.17306v1
- Date: Sun, 19 Apr 2026 07:48:17 GMT
- Title: The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
- Abstract summary: This paper reviews the NTIRE 2026 challenge on mobile real-world image super-resolution.<n>The challenge aims to recover high-resolution (HR) images from low-resolution (LR) counterparts generated through unknown degradations with a x4 scaling factor.<n>The track of the challenge evaluates performance using a weighted combination of image quality assessment (IQA) score and speedup ratios.
- Score: 196.33538296698563
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: This paper provides a review of the NTIRE 2026 challenge on mobile real-world image super-resolution, highlighting the proposed solutions and the resulting outcomes. The challenge aims to recover high-resolution (HR) images from low-resolution (LR) counterparts generated through unknown degradations with a x4 scaling factor while ensuring the models remain executable on mobile devices. The objective is to develop effective and efficient network designs or solutions that achieve state-of-the-art real-world image super-resolution performance. The track of the challenge evaluates performance using a weighted combination of image quality assessment (IQA) score and speedup ratios. The competition attracted 108 registrants, with 16 teams achieving a valid score in the final ranking. This collaborative effort advances the performance of mobile real-world image super-resolution while offering an in-depth overview of the latest trends in the field.
Related papers
- NTIRE 2026 Challenge on Efficient Low Light Image Enhancement: Methods and Results [79.76740508586327]
The NITRE 2026 Efficient Low Light Image Enhancement (E-LLIE) Challenge focuses on mobile image enhancement under low-light conditions.<n>This paper provides a systematic evaluation of recent methods for E-LLIE, offering a comprehensive overview of state-of-the-art progress.
arXiv Detail & Related papers (2026-05-04T04:27:27Z) - The Fourth Challenge on Image Super-Resolution ($\times$4) at NTIRE 2026: Benchmark Results and Method Overview [202.40386112006652]
The NTIRE 2026 image super-resolution ($times$4) challenge is one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026.<n>The challenge aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs generated through bicubic downsampling with a $times$4 scaling factor.<n>This report summarizes the challenge design, datasets, evaluation protocol, main results, and methods of participating teams.
arXiv Detail & Related papers (2026-04-16T02:41:53Z) - The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results [105.90649546111048]
This paper reviews the NTIRE 2026 challenge on real-world face restoration.<n>The challenge focuses on generating natural and realistic outputs while maintaining identity consistency.<n>Its goal is to advance state-of-the-art solutions for perceptual quality and realism.
arXiv Detail & Related papers (2026-04-12T08:49:14Z) - NTIRE 2025 Challenge on Image Super-Resolution ($\times$4): Methods and Results [159.15538432295656]
The NTIRE 2025 image super-resolution ($times$4) challenge is one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025.<n>The challenge aims to recover high-resolution (HR) images from low-resolution (LR) counterparts generated through bicubic downsampling with a $times$4 scaling factor.<n>A total of 286 participants registered for the competition, with 25 teams submitting valid entries.
arXiv Detail & Related papers (2025-04-20T12:08:22Z) - NTIRE 2024 Challenge on Image Super-Resolution ($\ imes$4): Methods and Results [126.78130602974319]
This paper reviews the NTIRE 2024 challenge on image super-resolution ($times$4)
The challenge involves generating corresponding high-resolution (HR) images, magnified by a factor of four, from low-resolution (LR) inputs.
The aim of the challenge is to obtain designs/solutions with the most advanced SR performance.
arXiv Detail & Related papers (2024-04-15T13:45:48Z) - NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and
Results [240.4967106943687]
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution.
The challenge task was to super-resolve an input image with a magnification factor 16.
The track had 280 registered participants, and 19 teams submitted the final results.
arXiv Detail & Related papers (2020-05-03T11:30:51Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.