Image Deblurring

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

9 leaderboard tables shown for this task, 9 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 167 papers with code (396 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Simple Baselines for Image Restoration
  10 Apr 2022 13 repositories listed Syntology ran 23 of 30 samples · 7 unverified · 17 pointer-only (licence)
  Although there have been significant advances in the field of image restoration recently, the system complexity of the state-of-the-art (SOTA) methods is increasing as well, which may hinder the convenient analysis and…
• Restormer: Efficient Transformer for High-Resolution Image Restoration
  18 Nov 2021 13 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Since convolutional neural networks (CNNs) perform well at learning generalizable image priors from large-scale data, these models have been extensively applied to image restoration and related tasks.
• Multi-Stage Progressive Image Restoration
  4 Feb 2021 8 repositories listed Syntology ran 18 of 26 samples · 8 unverified · 25 pointer-only (licence)
  At each stage, we introduce a novel per-pixel adaptive design that leverages in-situ supervised attention to reweight the local features.
• DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
  10 Aug 2019 6 repositories listed
  We present a new end-to-end generative adversarial network (GAN) for single image motion deblurring, named DeblurGAN-v2, which considerably boosts state-of-the-art deblurring efficiency, quality, and flexibility.
• Intriguing Findings of Frequency Selection for Image Deblurring
  23 Nov 2021 5 repositories listed
  Blur was naturally analyzed in the frequency domain, by estimating the latent sharp image and the blur kernel given a blurry image.
• AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
  13 Jun 2024 4 repositories listed Syntology ran 36 of 50 samples · 14 unverified · 50 pointer-only (licence)
  Despite the recent progress in enhancing the efficacy of image deblurring, the limited decoding capability constrains the upper limit of State-Of-The-Art (SOTA) methods.
• Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
  1 Dec 2022 4 repositories listed Syntology ran 12 of 23 samples · 11 unverified
  Most existing Image Restoration (IR) models are task-specific, which can not be generalized to different degradation operators.
• Rethinking Coarse-to-Fine Approach in Single Image Deblurring
  11 Aug 2021 4 repositories listed Syntology ran 1 of 9 samples · 8 unverified · 6 pointer-only (licence)
  Coarse-to-fine strategies have been extensively used for the architecture design of single image deblurring networks.
• Uformer: A General U-Shaped Transformer for Image Restoration
  6 Jun 2021 4 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 2 pointer-only (licence)
  Powered by these two designs, Uformer enjoys a high capability for capturing both local and global dependencies for image restoration.
• Scale-recurrent Network for Deep Image Deblurring
  6 Feb 2018 4 repositories listed
  In single image deblurring, the "coarse-to-fine" scheme, i.
• Denoising Diffusion Models for Plug-and-Play Image Restoration
  15 May 2023 3 repositories listed Syntology ran 13 of 16 samples · 3 unverified · 1 pointer-only (licence)
  Although diffusion models have shown impressive performance for high-quality image synthesis, their potential to serve as a generative denoiser prior to the plug-and-play IR methods remains to be further explored.
• MAXIM: Multi-Axis MLP for Image Processing
  9 Jan 2022 3 repositories listed Syntology ran 27 of 46 samples · 19 unverified
  In this work, we present a multi-axis MLP based architecture called MAXIM, that can serve as an efficient and flexible general-purpose vision backbone for image processing tasks.
• Improving Image Restoration by Revisiting Global Information Aggregation
  8 Dec 2021 3 repositories listed
  Our TLC converts global operations to local ones only during inference so that they aggregate features within local spatial regions rather than the entire large images.
• Residual Dense Network for Image Restoration
  25 Dec 2018 3 repositories listed
  We fully exploit the hierarchical features from all the convolutional layers.
• LoFormer: Local Frequency Transformer for Image Deblurring
  24 Jul 2024 2 repositories listed
  Due to the computational complexity of self-attention (SA), prevalent techniques for image deblurring often resort to either adopting localized SA or employing coarse-grained global SA methods, both of which exhibit…
• Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
  23 Jul 2024 2 repositories listed Syntology ran 21 of 27 samples · 6 unverified · 5 pointer-only (licence)
  Recent studies on inverse problems have proposed posterior samplers that leverage the pre-trained diffusion models as powerful priors.
• MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration
  19 Jan 2024 2 repositories listed
  To capture the longrange dependency of features without introducing excessive computational complexity, we present the Global Feature Modulation Layer (GFML).
• To be or not to be stable, that is the question: understanding neural networks for inverse problems
  24 Nov 2022 2 repositories listed
  The solution of linear inverse problems arising, for example, in signal and image processing is a challenging problem since the ill-conditioning amplifies, in the solution, the noise present in the data.
• MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
  1 Nov 2022 2 repositories listed
  Inspired by the success of DPM, we propose the first DPM based model toward general medical image segmentation tasks, which we named MedSegDiff.
• Stripformer: Strip Transformer for Fast Image Deblurring
  10 Apr 2022 2 repositories listed Syntology ran 5 of 8 samples · 3 unverified · 8 pointer-only (licence)
  Images taken in dynamic scenes may contain unwanted motion blur, which significantly degrades visual quality.
• MC-Blur: A Comprehensive Benchmark for Image Deblurring
  1 Dec 2021 2 repositories listed
  Blur artifacts can seriously degrade the visual quality of images, and numerous deblurring methods have been proposed for specific scenarios.
• HINet: Half Instance Normalization Network for Image Restoration
  13 May 2021 2 repositories listed
  Specifically, we present a novel block: Half Instance Normalization Block (HIN Block), to boost the performance of image restoration networks.
• Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
  27 Apr 2020 2 repositories listed
  To the best of our knowledge, this is the first paper that addresses all the deployment issues of image deblurring task across mobile devices.
• Burst ranking for blind multi-image deblurring
  29 Oct 2018 2 repositories listed
  The primary motivation is that current bursts deblurring methods do not handle well situations in which misalignment or out-of-context frames are present in the burst.
• Gated Fusion Network for Joint Image Deblurring and Super-Resolution
  27 Jul 2018 2 repositories listed
  Single-image super-resolution is a fundamental task for vision applications to enhance the image quality with respect to spatial resolution.
• Image Restoration by Iterative Denoising and Backward Projections
  18 Oct 2017 2 repositories listed
  In this work, we propose an alternative method for solving inverse problems using off-the-shelf denoisers, which requires less parameter tuning.
• The Little Engine that Could: Regularization by Denoising (RED)
  9 Nov 2016 2 repositories listed
  As opposed to the P³ method, we offer Regularization by Denoising (RED): using the denoising engine in defining the regularization of the inverse problem.
• Efficient RAW Image Deblurring with Adaptive Frequency Modulation
  30 May 2025 1 repository listed
  To address these issues, we propose Frequency Enhanced Network (FrENet), a framework specifically designed for RAW-to-RAW deblurring that operates directly in the frequency domain.
• NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results
  16 Apr 2025 1 repository listed
  This paper presents an overview of NTIRE 2025 the First Challenge on Event-Based Image Deblurring, detailing the proposed methodologies and corresponding results.
• X-DECODE: EXtreme Deblurring with Curriculum Optimization and Domain Equalization
  10 Apr 2025 1 repository listed
  Experimental results on the Extreme-GoPro dataset showed that our method outperforms the next best method by 14% in SSIM, whereas experiments on the Extreme-KITTI dataset showed that our method outperforms the next best…

Syntology lines on 11 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.