Browse State-of-the-Art › Underwater Image Restoration
Underwater Image Restoration
25 papers with code · 1 benchmark · 3 datasets archive 2025-07-28
Underwater image restoration aims to rectify the distorted colors and present the true colors of the underwater scene.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| LSUI (6 rows) | CE-VAE | CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater... | code | — | Compare |
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
3 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
25 shown of 25 papers with code (38 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.
-
27 Apr 2021 7 repositories listed Syntology ran 1 of 1 samples · 0 unverifiedAs a result, our network can effectively improve the visual quality of underwater images by exploiting multiple color spaces embedding and the advantages of both physical model-based and learning-based methods.
-
23 Mar 2019 3 repositories listedIn this paper, we present a conditional generative adversarial network-based model for real-time underwater image enhancement.
-
23 Nov 2021 2 repositories listed Syntology ran 1 of 5 samples · 4 unverifiedIn this work, we constructed a large-scale underwater image (LSUI) dataset including 5004 image pairs, and reported an U-shape Transformer network where the transformer model is for the first time introduced to the UIE…
-
11 Jan 2018 2 repositories listedAutonomous underwater vehicles (AUVs) rely on a variety of sensors - acoustic, inertial and visual - for intelligent decision making.
-
6 Jan 2025 1 repository listedUnderwater imaging grapples with challenges from light-water interactions, leading to color distortions and reduced clarity.
-
24 Dec 2024 1 repository listedThis work provides new insights into the potential of CNN-based approaches for challenging image restoration tasks in underwater environments.
-
19 Dec 2024 1 repository listedImage restoration and enhancement are pivotal for numerous computer vision applications, yet unifying these tasks efficiently remains a significant challenge.
-
2 Dec 2024 1 repository listedQuality degradation is observed in underwater images due to the effects of light refraction and absorption by water, leading to issues like color cast, haziness, and limited visibility.
-
13 Oct 2024 1 repository listedImage enhancement is considered an ill-posed inverse problem due to its tendency to have multiple solutions.
-
8 Oct 2024 1 repository listedNext, we estimate multiple transformation functions utilizing a cross-attention block to capture the relevance between spatial and statistical information in the input image and its histogram, respectively.
-
20 Aug 2024 1 repository listedBy explicitly incorporating color priors and modeling the physical characteristics of underwater image formation, the proposed DUN model achieves more accurate and reliable enhancement results.
-
19 Aug 2024 1 repository listedUnderwater imagery is often compromised by factors such as color distortion and low contrast, posing challenges for high-level vision tasks.
-
20 Jul 2024 1 repository listedUnderwater images are typically characterized by color cast, haze, blurring, and uneven illumination due to the selective absorption and scattering when light propagates through the water, which limits their practical…
-
3 Jun 2024 1 repository listedOur attention-aware image encoder can project the input image onto a latent space representation while being able to run online on a remote device.
-
19 Dec 2023 1 repository listedNonetheless, the performance of these methods is often constrained by the domain gap and looser constraints.
-
28 Nov 2023 1 repository listed Syntology ran 11 of 14 samples · 3 unverified · 14 pointer-only (licence)Underwater images are subject to intricate and diverse degradation, inevitably affecting the effectiveness of underwater visual tasks.
-
1 Sep 2023 1 repository listedFirst, we develop a histogram-based multiple transformation function estimation network (HMTF-Net) to estimate multiple transformation functions by exploiting both the spatial and statistical information of the input…
-
23 Aug 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)Therefore, we present the synergistic multi-scale detail refinement via intrinsic supervision (SMDR-IS) for enhancing underwater scene details, which contain multi-stages.
-
16 Mar 2023 1 repository listedDespite the remarkable achievement of recent underwater image restoration techniques, the lack of labeled data has become a major hurdle for further progress.
-
12 Mar 2023 1 repository listedThe meta-learning strategy is used to obtain a pre-trained model on the synthetic underwater dataset, which contains different types of degradation to cover the various underwater environments.
-
20 Jun 2021 1 repository listedThere are 2000 reference restored images and 6003 original underwater images in the unpaired training set.
-
15 Jun 2021 1 repository listedBackground: Underwater images, in general, suffer from low contrast and high color distortions due to the non-uniform attenuation of the light as it propagates through the water.
-
17 Mar 2021 1 repository listedUnderwater image restoration attracts significant attention due to its importance in unveiling the underwater world.
-
6 Aug 2019 1 repository listedSurprisingly, we demonstrate that PEOF is more efficient and often outperforms all the state of the art methods in terms of numerical measures.
-
11 Jan 2019 1 repository listed Syntology ran 0 of 11 samples · 11 unverifiedIn this paper, we construct an Underwater Image Enhancement Benchmark (UIEB) including 950 real-world underwater images, 890 of which have the corresponding reference images.
Syntology lines on 5 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections