mlsanityData to 14 Oct 2026

The Tenth NTIRE 2025 Image Denoising Challenge Report

arXiv 2504.12276 ↗First posted 16 Apr 2025cs.CVcited by 21

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Abstract (arXiv)

This paper presents an overview of the NTIRE 2025 Image Denoising Challenge (σ = 50), highlighting the proposed methodologies and corresponding results. The primary objective is to develop a network architecture capable of achieving high-quality denoising performance, quantitatively evaluated using PSNR, without constraints on computational complexity or model size. The task assumes independent additive white Gaussian noise (AWGN) with a fixed noise level of 50. A total of 290 participants registered for the challenge, with 20 teams successfully submitting valid results, providing insights into the current state-of-the-art in image denoising.

Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). Builds on 22 of its 66 references that are in the map. First posted on arXiv 16 Apr 2025.

Builds on

22 of 66 references.

References · 22

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2021SwinIR: Image Restoration Using Swin Transformercited by 1,887
  3. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,627
  4. 2017Enhanced Deep Residual Networks for Single Image Super-Resolutioncited by 1,552
  5. 2016Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoisingcited by 1,358
  6. 2018Image Super-Resolution Using Very Deep Residual Channel Attention Networkscited by 1,264
  7. 2021Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Datacited by 970
  8. 2022Simple Baselines for Image Restorationcited by 708
  9. 2022Activating More Pixels in Image Super-Resolution Transformercited by 438
  10. 2023Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancementcited by 231
  11. 2024MambaIRv2: Attentive State Space Restorationcited by 94
  12. 2022Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesiscited by 86
10 more
  1. 2023Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Modelscited by 86
  2. 2021Improving Image Restoration by Revisiting Global Information Aggregationcited by 61
  3. 2015Seven ways to improve example-based single image super resolutioncited by 51
  4. 2024NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Resultscited by 40
  5. 2023Xformer: Hybrid X-Shaped Transformer for Image Denoisingcited by 37
  6. 2023Improving Image Restoration through Removing Degradations in Textual Representationscited by 36
  7. 2024NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Resultscited by 29
  8. 2025The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Reportcited by 26
  9. 2025NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Resultscited by 25
  10. 2024Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolutioncited by 10

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 16; 2026: 5.

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  1. 2025NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Resultscited by 22
  2. 2025NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Resultscited by 14
  3. 2025NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Resultscited by 14
  4. 2025NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Resultscited by 12
  5. 2025NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Resultscited by 12
  6. 2025NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Resultscited by 10
  7. 2025Score-based Self-supervised MRI Denoisingcited by 9
  8. 2025NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and Resultscited by 9
  9. 2025NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolutioncited by 9
  10. 2025NTIRE 2025 challenge on Text to Image Generation Model Quality Assessmentcited by 8
  11. 2025NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challengecited by 5
  12. 2025RAW Image Reconstruction from RGB on Smartphones. NTIRE 2025 Challenge Reportcited by 4
9 more
  1. 2025NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfacescited by 3
  2. 2025Beyond the Ground Truth: Enhanced Supervision for Image Restorationcited by 2
  3. 2025NTIRE 2025 Image Shadow Removal Challenge Reportcited by 1
  4. 2025NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Resultscited by 1
  5. 2026Tuning Real-World Image Restoration at Inference: A Test-Time Scaling Paradigm for Flow Matching Modelscited by 1
  6. 2026The Third Challenge on Image Denoising at NTIRE 2026: Methods and Resultscited by 1
  7. 2026Learned Nonlocal Feature Matching and Filtering for RAW Image Denoisingcited by 0
  8. 2026SPARK: Spatial Policy-driven Adaptive Reinforcement learning for Knowledge distillationcited by 0
  9. 2026The Devil is in the Dark Pixels: Toward Brightness Bias-Robust Denoisingcited by 0