mlsanityData to 14 Oct 2026

NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution

arXiv 2506.02197 ↗First posted 2 Jun 2025eess.IV cs.CVcited by 9

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Abstract (arXiv)

This paper reviews the NTIRE 2025 RAW Image Restoration and Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Restoration and Super-Resolution could be essential in modern Image Signal Processing (ISP) pipelines, however, this problem is not as explored as in the RGB domain. The goal of this challenge is two fold, (i) restore RAW images with blur and noise degradations, (ii) upscale RAW Bayer images by 2x, considering unknown noise and blur. In the challenge, a total of 230 participants registered, and 45 submitted results during thee challenge period. This report presents the current state-of-the-art in RAW Restoration.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 55 of its 80 references that are in the map. First posted on arXiv 2 Jun 2025.

Builds on

55 of 80 references.

References · 55

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38 more
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50 most cited of 55 All 55 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 5; 2026: 4.

9 papers.

  1. 2025NTIRE 2025 XGC Quality Assessment Challenge: Methods and Resultscited by 6
  2. 2026It Takes Two: A Duet of Periodicity and Directionality for Burst Flicker Removalcited by 4
  3. 2025NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfacescited by 3
  4. 2025AIM 2025 Challenge on Real-World RAW Image Denoisingcited by 2
  5. 2025NTIRE 2025 Image Shadow Removal Challenge Reportcited by 1
  6. 2025NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Resultscited by 1
  7. 2026DRIFT: Deep Restoration, ISP Fusion, and Tone-mappingcited by 0
  8. 2026LatentBurst: A Fast and Efficient Multi Frame Super-Resolution for Hexadeca-Bayer Pattern CIS imagescited by 0
  9. 2026Benchmarking RAW and RGB Restoration in Image Signal Processorscited by 0