Deblurring

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

17 leaderboard tables shown for this task, 17 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. 10 shown of 17 until expanded.

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

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

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 424 papers with code (999 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.

• Learning to See in the Dark
  4 May 2018 19 repositories listed Syntology ran 1 of 14 samples · 13 unverified · 2 pointer-only (licence)
  Imaging in low light is challenging due to low photon count and low SNR.
• 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.
• DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
  19 Nov 2017 13 repositories listed
  The quality of the deblurring model is also evaluated in a novel way on a real-world problem -- object detection on (de-)blurred images.
• EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
  7 May 2019 11 repositories listed Syntology ran 5 of 19 samples · 14 unverified
  In this work, we propose a novel Video Restoration framework with Enhanced Deformable networks, termed EDVR, to address these challenges.
• 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.
• Diffusion Posterior Sampling for General Noisy Inverse Problems
  29 Sep 2022 5 repositories listed Syntology ran 6 of 20 samples · 14 unverified · 9 pointer-only (licence)
  Diffusion models have been recently studied as powerful generative inverse problem solvers, owing to their high quality reconstructions and the ease of combining existing iterative solvers.
• 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.
• DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
  1 Dec 2020 5 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We propose a method that, given a single image with its estimated background, outputs the object's appearance and position in a series of sub-frames as if captured by a high-speed camera (i.
• 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.
• Recurrent Video Restoration Transformer with Guided Deformable Attention
  5 Jun 2022 4 repositories listed Syntology ran 7 of 14 samples · 7 unverified · 5 pointer-only (licence)
  Specifically, RVRT divides the video into multiple clips and uses the previously inferred clip feature to estimate the subsequent clip feature.
• 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.
• Projected Distribution Loss for Image Enhancement
  16 Dec 2020 4 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  More explicitly, we show that in imaging applications such as denoising, super-resolution, demosaicing, deblurring and JPEG artifact removal, the proposed learning loss outperforms the current state-of-the-art on…
• DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
  17 Oct 2020 4 repositories listed
  Documents often exhibit various forms of degradation, which make it hard to be read and substantially deteriorate the performance of an OCR system.
• Plug-and-Play Image Restoration with Deep Denoiser Prior
  31 Aug 2020 4 repositories listed Syntology ran 3 of 28 samples · 25 unverified
  Recent works on plug-and-play image restoration have shown that a denoiser can implicitly serve as the image prior for model-based methods to solve many inverse problems.
• Scale-recurrent Network for Deep Image Deblurring
  6 Feb 2018 4 repositories listed
  In single image deblurring, the "coarse-to-fine" scheme, i.
• Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance
  26 Mar 2024 3 repositories listed Syntology ran 13 of 16 samples · 3 unverified
  These techniques are often not applicable in unconditional generation or in various downstream tasks such as image restoration.
• SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams
  14 Mar 2024 3 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Our approach begins with the formulation of a spike-guided deblurring model that explores the theoretical relationships among spike streams, blurry images, and their corresponding sharp sequences.
• 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.
• A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
  24 Oct 2022 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  In image recovery problems, one seeks to infer an image from distorted, incomplete, and/or noise-corrupted measurements.
• 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.
• Intra-frame Object Tracking by Deblatting
  9 May 2019 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  We propose a novel approach called Tracking by Deblatting based on the observation that motion blur is directly related to the intra-frame trajectory of an object.
• Residual Dense Network for Image Restoration
  25 Dec 2018 3 repositories listed
  We fully exploit the hierarchical features from all the convolutional layers.
• MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restoration
  8 Jan 2025 2 repositories listed
  This variant leverages the Taylor expansion to approximate the Softmax-attention and utilizes the concept of norm-preserving mapping to approximate the remainder of the first-order Taylor expansion, resulting in a…
• 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.

Syntology lines on 21 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.