Single Image Deraining

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

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 59 papers with code (94 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.

• 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.
• Pre-Trained Image Processing Transformer
  1 Dec 2020 6 repositories listed
  To maximally excavate the capability of transformer, we present to utilize the well-known ImageNet benchmark for generating a large amount of corrupted image pairs.
• Progressive Image Deraining Networks: A Better and Simpler Baseline
  26 Jan 2019 4 repositories listed Syntology ran 1 of 9 samples · 8 unverified
  To handle this issue, this paper provides a better and simpler baseline deraining network by considering network architecture, input and output, and loss functions.
• 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.
• SDNet: mutil-branch for single image deraining using swin
  31 May 2021 3 repositories listed
  The former implements the basic rain pattern feature extraction, while the latter fuses different features to further extract and process the image features.
• Multi-Scale Progressive Fusion Network for Single Image Deraining
  24 Mar 2020 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In this work, we explore the multi-scale collaborative representation for rain streaks from the perspective of input image scales and hierarchical deep features in a unified framework, termed multi-scale progressive…
• NASNet: A Neuron Attention Stage-by-Stage Net for Single Image Deraining
  6 Dec 2019 3 repositories listed
  In this paper, we propose a novel end-to-end Neuron Attention Stage-by-Stage Net (NASNet), which can solve all types of rain model tasks efficiently.
• 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.
• EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining
  19 Sep 2020 2 repositories listed Syntology ran 8 of 8 samples · 0 unverified
  To fill this gap, in this paper, we regard the single-image deraining as a general image-enhancing problem and originally propose a model-free deraining method, i.
• Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset
  2 Apr 2019 2 repositories listed Syntology ran 3 of 5 samples · 2 unverified
  Second, to better cover the stochastic distribution of real rain streaks, we propose a novel SPatial Attentive Network (SPANet) to remove rain streaks in a local-to-global manner.
• Clearing the Skies: A deep network architecture for single-image rain removal
  7 Sep 2016 2 repositories listed
  We introduce a deep network architecture called DerainNet for removing rain streaks from an image.
• Forward-only Diffusion Probabilistic Models
  22 May 2025 1 repository listed
  This work presents a forward-only diffusion (FoD) approach for generative modelling.
• Iterative Optimal Attention and Local Model for Single Image Rain Streak Removal
  20 Mar 2025 1 repository listed
  To address these limitations, we propose an Expectation Maximization Reconstruction Transformer (EMResformer) for single image rain streak removal.
• Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model
  19 Dec 2024 1 repository listed
  Image restoration and enhancement are pivotal for numerous computer vision applications, yet unifying these tasks efficiently remains a significant challenge.
• A Hybrid Transformer-Mamba Network for Single Image Deraining
  31 Aug 2024 1 repository listed
  Existing deraining Transformers employ self-attention mechanisms with fixed-range windows or along channel dimensions, limiting the exploitation of non-local receptive fields.
• Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks
  2 Jun 2024 1 repository listed Syntology ran 7 of 17 samples · 10 unverified · 17 pointer-only (licence)
  To better model this property for image detaining, we develop a multi-scale graph network with exemplars, called MSGNN, that contains two branches: 1) internal data-based supervised branch is used to model the internal…
• Exploiting Regional Information Transformer for Single Image Deraining
  25 Feb 2024 1 repository listed
  Our RTB is used for attention selection of rain-affected and unaffected regions and local modeling of mixed scales.
• Exploring the potential of channel interactions for image restoration
  20 Dec 2023 1 repository listed
  Image restoration aims to reconstruct a clear image from a degraded observation.
• Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
  16 Dec 2023 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  By leveraging the natural mean-reverting property of the generalized OU process and further eliminating the variance of its steady-state distribution through the Doob's h-transform, we achieve diffusion mappings from…
• Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise
  25 Nov 2023 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  We propose Resfusion, a general framework that incorporates the residual term into the diffusion forward process, starting the reverse process directly from the noisy degraded images.
• Controlling Vision-Language Models for Multi-Task Image Restoration
  2 Oct 2023 1 repository listed Syntology ran 8 of 9 samples · 1 unverified
  In this paper, we present a degradation-aware vision-language model (DA-CLIP) to better transfer pretrained vision-language models to low-level vision tasks as a multi-task framework for image restoration.
• Latent Degradation Representation Constraint for Single Image Deraining
  9 Sep 2023 1 repository listed
  Since rain streaks show a variety of shapes and directions, learning the degradation representation is extremely challenging for single image deraining.
• Prompt-based Ingredient-Oriented All-in-One Image Restoration
  6 Sep 2023 1 repository listed Syntology ran 11 of 12 samples · 1 unverified · 12 pointer-only (licence)
  Image restoration aims to recover the high-quality images from their degraded observations.
• From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal
  7 Aug 2023 1 repository listed Syntology ran 13 of 14 samples · 1 unverified · 14 pointer-only (licence)
  Learning-based image deraining methods have made great progress.
• ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
  23 Jun 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  We then leverage degradation-aware visual prompts to establish a controllable and universal model for image restoration, called ProRes, which is applicable to an extensive range of image restoration tasks.
• A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG²+ Track 3
  13 May 2023 1 repository listed
  Secondly, a transformer-based single image deraining network Uformer is implemented to pre-train on large real rain dataset and then fine-tuned on pseudo GT to further improve image restoration.
• A Mountain-Shaped Single-Stage Network for Accurate Image Restoration
  9 May 2023 1 repository listed
  Image restoration is the task of aiming to obtain a high-quality image from a corrupt input image, such as deblurring and deraining.
• Selective Frequency Network for Image Restoration
  13 Apr 2023 1 repository listed
  Image restoration aims to reconstruct the latent sharp image from its corrupted counterpart.
• KBNet: Kernel Basis Network for Image Restoration
  6 Mar 2023 1 repository listed Syntology ran 6 of 9 samples · 3 unverified
  In this paper, we propose a kernel basis attention (KBA) module, which introduces learnable kernel bases to model representative image patterns for spatial information aggregation.

Syntology lines on 15 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.