mlsanityData to 7 Oct 2026

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

arXiv 2009.12072 ↗First posted 25 Sep 2020cs.CVcited by 17

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Abstract (arXiv)

This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This challenge involves three tracks to super-resolve an input image for ×2, ×3 and ×4 scaling factors, respectively. The goal is to attract more attention to realistic image degradation for the SR task, which is much more complicated and challenging, and contributes to real-world image super-resolution applications. 452 participants were registered for three tracks in total, and 24 teams submitted their results. They gauge the state-of-the-art approaches for real image SR in terms of PSNR and SSIM.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Sep 2020.

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Citing papers per year: 2021: 6; 2022: 6; 2023: 2; 2024: 2; 2025: 1.

17 papers.

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  1. 2021Designing a Practical Degradation Model for Deep Blind Image Super-Resolutioncited by 524
  2. 2021Blind Image Super-Resolution: A Survey and Beyondcited by 93
  3. 2021Real-World Single Image Super-Resolution: A Brief Reviewcited by 65
  4. 2022Residual Local Feature Network for Efficient Super-Resolutioncited by 53
  5. 2022A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Boundscited by 22
  6. 2022HST: Hierarchical Swin Transformer for Compressed Image Super-resolutioncited by 20
  7. 2022Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observationscited by 19
  8. 2023DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolutioncited by 19
  9. 2023Learning Distortion Invariant Representation for Image Restoration from A Causality Perspectivecited by 17
  10. 2024MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMscited by 14
  11. 2025NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Studycited by 11
  12. 2021A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolutioncited by 2
5 more
  1. 2022Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systemscited by 2
  2. 2024Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observationscited by 2
  3. 2021A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspectivecited by 1
  4. 2021XCycles Backprojection Acoustic Super-Resolutioncited by 0
  5. 2022RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Imagescited by 0