NTIRE 2026 Challenge on Efficient Low Light Image Enhancement: Methods and Results

• URL: http://arxiv.org/abs/2605.02212v1
• Date: Mon, 04 May 2026 04:27:27 GMT
• Title: NTIRE 2026 Challenge on Efficient Low Light Image Enhancement: Methods and Results
• Abstract summary: 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.
• Score: 79.76740508586327
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper presents a comprehensive review of the NITRE 2026 Efficient Low Light Image Enhancement (E-LLIE) Challenge, highlighting the proposed solutions and final outcomes. This challenge focuses on mobile image enhancement under low-light conditions, aiming to design lightweight networks that improve enhancement quality while ensuring practical deployability under limited computational resources. A total of 207 participants registered, 27 teams submitted valid entries, and 17 teams ultimately provided valid factsheet. Based on these submissions, this paper provides a systematic evaluation of recent methods for E-LLIE, offering a comprehensive overview of state-of-the-art progress and demonstrating significant improvements in both performance and efficiency.

Related papers

• Low Light Image Enhancement Challenge at NTIRE 2026 [178.3397880608152]
  The objective of this challenge is to identify effective networks capable of producing clearer and visually compelling images.<n>A total of 195 participants registered for the first track and 153 for the second track of the competition, and 22 teams ultimately submitted valid entries.<n>This paper thoroughly evaluates the state-of-the-art advances in (joint denoising and) low-light image enhancement, showcasing the significant progress in the field.
  arXiv  Detail & Related papers  (2026-04-19T23:44:34Z)
• The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview [196.33538296698563]
  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.
  arXiv  Detail & Related papers  (2026-04-19T07:48:17Z)
• The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report [122.8376730579832]
  This paper reviews the NTIRE 2026 challenge on efficient single-image super-resolution.<n>The aim of this challenge is to devise a network that reduces one or several aspects, such as runtime, parameters, and FLOPs.<n>The challenge had 95 registered participants, and 15 teams made valid submissions.
  arXiv  Detail & Related papers  (2026-04-03T17:17:26Z)
• NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results [205.67453409758568]
  The objective of the challenge is to identify effective networks capable of producing brighter, clearer, and visually compelling images.<n>A remarkable total of 762 participants registered for the competition, with 28 teams ultimately submitting valid entries.<n>This paper thoroughly evaluates the state-of-the-art advancements in LLIE, showcasing the significant progress.
  arXiv  Detail & Related papers  (2025-10-15T15:30:16Z)
• NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results [140.18794489156704]
  This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of generating brighter, clearer, and visually appealing results when dealing with a variety of conditions. A notable total of 428 participants registered for the challenge, with 22 teams ultimately making valid submissions.
  arXiv  Detail & Related papers  (2024-04-22T15:01:12Z)

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.