mlsanityData to 14 Oct 2026

AIM 2025 Low-light RAW Video Denoising Challenge: Dataset, Methods and Results

arXiv 2508.16830 ↗First posted 22 Aug 2025cs.CV eess.IVcited by 14

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Abstract (arXiv)

This paper reviews the AIM 2025 (Advances in Image Manipulation) Low-Light RAW Video Denoising Challenge. The task is to develop methods that denoise low-light RAW video by exploiting temporal redundancy while operating under exposure-time limits imposed by frame rate and adapting to sensor-specific, signal-dependent noise. We introduce a new benchmark of 756 ten-frame sequences captured with 14 smartphone camera sensors across nine conditions (illumination: 1/5/10 lx; exposure: 1/24, 1/60, 1/120 s), with high-SNR references obtained via burst averaging. Participants process linear RAW sequences and output the denoised 10th frame while preserving the Bayer pattern. Submissions are evaluated on a private test set using full-reference PSNR and SSIM, with final ranking given by the mean of per-metric ranks. This report describes the dataset, challenge protocol, and submitted approaches.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 37 of its 56 references that are in the map. First posted on arXiv 22 Aug 2025.

Builds on

37 of 56 references.

References · 37

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  2. 2022Scalable Diffusion Models with Transformerscited by 6,054
  3. 2016SGDR: Stochastic Gradient Descent with Warm Restartscited by 5,045
  4. 2021SwinIR: Image Restoration Using Swin Transformercited by 1,887
  5. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,627
  6. 2016Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoisingcited by 1,358
  7. 2021Uformer: A General U-Shaped Transformer for Image Restorationcited by 866
  8. 2022Simple Baselines for Image Restorationcited by 708
  9. 2018Noise2Noise: Learning Image Restoration without Clean Datacited by 533
  10. 2017FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoisingcited by 510
  11. 2018Learning to See in the Darkcited by 460
  12. 2024MambaIR: A Simple Baseline for Image Restoration with State-Space Modelcited by 352
25 more
  1. 2021BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignmentcited by 342
  2. 2018Toward Convolutional Blind Denoising of Real Photographscited by 274
  3. 2018Unprocessing Images for Learned Raw Denoisingcited by 250
  4. 2022VRT: A Video Restoration Transformercited by 220
  5. 2020CycleISP: Real Image Restoration via Improved Data Synthesiscited by 213
  6. 2017Benchmarking Denoising Algorithms with Real Photographscited by 209
  7. 2022Recurrent Video Restoration Transformer with Guided Deformable Attentioncited by 170
  8. 2017Burst Denoising with Kernel Prediction Networkscited by 157
  9. 2020A Physics-based Noise Formation Model for Extreme Low-light Raw Denoisingcited by 138
  10. 2019FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimationcited by 128
  11. 2019Noise Flow: Noise Modeling with Conditional Normalizing Flowscited by 108
  12. 2020Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenescited by 77
  13. 2021Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking Platformcited by 66
  14. 2019DVDnet: A Fast Network for Deep Video Denoisingcited by 60
  15. 2022Dancing under the stars: video denoising in starlightcited by 47
  16. 2019ViDeNN: Deep Blind Video Denoisingcited by 40
  17. 2023Burstormer: Burst Image Restoration and Enhancement Transformercited by 32
  18. 2018Wireless Software Synchronization of Multiple Distributed Camerascited by 12
  19. 2023RViDeformer: Efficient Raw Video Denoising Transformer with a Larger Benchmark Datasetcited by 8
  20. 2025AIM 2025 challenge on Inverse Tone Mapping Report: Methods and Resultscited by 8
  21. 2025AIM 2025 Rip Current Segmentation (RipSeg) Challenge Reportcited by 7
  22. 2024Neural Light Spheres for Implicit Image Stitching and View Synthesiscited by 6
  23. 2024BVI-Lowlight: Fully Registered Benchmark Dataset for Low-Light Video Enhancementcited by 4
  24. 2025YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependencycited by 4
  25. 2025Towards Controllable Real Image Denoising with Camera Parameterscited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 8; 2026: 6.

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  1. 2026Depth-Synergized Mamba Meets Memory Experts for All-Day Image Reflection Separationcited by 5
  2. 2025Diffusion-Based Image Editing: An Unforeseen Adversary to Robust Invisible Watermarkscited by 3
  3. 2025AIM 2025 Challenge on High FPS Motion Deblurring: Methods and Resultscited by 2
  4. 2025SSCM: A Spatial-Semantic Consistent Model for Multi-Contrast MRI Super-Resolutioncited by 2
  5. 2025AIM 2025 Challenge on Real-World RAW Image Denoisingcited by 2
  6. 2025Efficient Real-World Deblurring using Single Images: AIM 2025 Challenge Reportcited by 2
  7. 2026Vanishing Watermarks: Diffusion-Based Image Editing Undermines Robust Invisible Watermarkingcited by 2
  8. 2026Editing on the Generative Manifold: A Theoretical and Empirical Study of General Diffusion-Based Image Editing Trade-offscited by 1
  9. 2025DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoisingcited by 0
  10. 2025DeRainMamba: A Frequency-Aware State Space Model with Detail Enhancement for Image Derainingcited by 0
  11. 2025Efficient Perceptual Image Super Resolution: AIM 2025 Study and Benchmarkcited by 0
  12. 2026When Denoising Becomes Unsigning: Theoretical and Empirical Analysis of Watermark Fragility Under Diffusion-Based Image Editingcited by 0
2 more
  1. 2026Editing Away the Evidence: Diffusion-Based Image Manipulation and the Failure Modes of Robust Watermarkingcited by 0
  2. 2026ReconMIL: Synergizing Latent Space Reconstruction with Bi-Stream Mamba for Whole Slide Image Analysiscited by 0