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HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration

https://doi.org/10.1109/tip.2023.3309408
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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Dual-eyes Vision-based Docking System for Autonomous Underwater Vehicle: an Approach and Experiments
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DRIT++: Diverse Image-to-Image Translation via Disentangled Representations
inferredcites →https://doi.org/10.1016/j.jvcir.2018.06.018openalex-snapshot
Single-shot underwater image restoration: A visual quality-aware method based on light propagation model
inferredcites →https://doi.org/10.1016/j.patcog.2019.107038openalex-snapshot
Underwater scene prior inspired deep underwater image and video enhancement
inferredcites →https://doi.org/10.1109/cvpr.2004.1315078openalex-snapshot
Clear underwater vision
inferredcites →https://doi.org/10.1109/cvpr.2012.6247661openalex-snapshot
Enhancing underwater images and videos by fusion
inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot
Image-to-Image Translation with Conditional Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00703openalex-snapshot
A Revised Underwater Image Formation Model
inferredcites →https://doi.org/10.1109/cvpr.2019.00178openalex-snapshot
Sea-Thru: A Method for Removing Water From Underwater Images
inferredcites →https://doi.org/10.1109/iccv.1999.790410openalex-snapshot
Object recognition from local scale-invariant features
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv.2017.304openalex-snapshot
Least Squares Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/iccvw.2013.113openalex-snapshot
Transmission Estimation in Underwater Single Images
inferredcites →https://doi.org/10.1109/icip.2017.8296508openalex-snapshot
A deep CNN method for underwater image enhancement
inferredcites →https://doi.org/10.1109/icip.2018.8451209openalex-snapshot
Joint Residual Learning for Underwater Image Enhancement
inferredcites →https://doi.org/10.1109/icra.2018.8460552openalex-snapshot
Enhancing Underwater Imagery Using Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/joe.2015.2469915openalex-snapshot
Human-Visual-System-Inspired Underwater Image Quality Measures
inferredcites →https://doi.org/10.1109/lra.2017.2730363openalex-snapshot
WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images
inferredcites →https://doi.org/10.1109/lra.2020.2974710openalex-snapshot
Fast Underwater Image Enhancement for Improved Visual Perception
inferredcites →https://doi.org/10.1109/lsp.2018.2792050openalex-snapshot
Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer
inferredcites →https://doi.org/10.1109/tcsvt.2019.2963772openalex-snapshot
Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light
inferredcites →https://doi.org/10.1109/tcsvt.2020.2980876openalex-snapshot
Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos
inferredcites →https://doi.org/10.1109/tie.2019.2893840openalex-snapshot
Towards Real-Time Advancement of Underwater Visual Quality With GAN
inferredcites →https://doi.org/10.1109/tip.2011.2179666openalex-snapshot
Underwater Image Enhancement by Wavelength Compensation and Dehazing
inferredcites →https://doi.org/10.1109/tip.2015.2491020openalex-snapshot
An Underwater Color Image Quality Evaluation Metric
inferredcites →https://doi.org/10.1109/tip.2017.2663846openalex-snapshot
Underwater Image Restoration Based on Image Blurriness and Light Absorption
inferredcites →https://doi.org/10.1109/tip.2017.2759252openalex-snapshot
Color Balance and Fusion for Underwater Image Enhancement
inferredcites →https://doi.org/10.1109/tip.2019.2955241openalex-snapshot
An Underwater Image Enhancement Benchmark Dataset and Beyond
inferredcites →https://doi.org/10.1109/tpami.2006.153openalex-snapshot
A generic camera model and calibration method for conventional, wide-angle, and fish-eye lenses
inferredcites →https://doi.org/10.1109/tpami.2010.168openalex-snapshot
Single Image Haze Removal Using Dark Channel Prior
inferredcites →https://doi.org/10.1109/tpami.2020.2977624openalex-snapshot
Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset
inferredcites →https://doi.org/10.1109/tro.2021.3075644openalex-snapshot
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM
inferredcites →https://doi.org/10.1142/s021800140000012xopenalex-snapshot
A VISION BASED SYSTEM FOR OBJECT DETECTION IN UNDERWATER IMAGES
inferredcites →https://doi.org/10.48550/arxiv.1906.06819openalex-snapshot
A Fusion Adversarial Underwater Image Enhancement Network with a Public Test Dataset
inferredcites →https://doi.org/10.48550/arxiv.1912.10269openalex-snapshot
UWGAN: Underwater GAN for Real-world Underwater Color Restoration and Dehazing
inferredcites →https://doi.org/10.48550/arxiv.2101.00991openalex-snapshot
Underwater Image Enhancement based on Deep Learning and Image Formation Model

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Gplm: Enhancing Underwater Images with Global Pyramid Linear Modulation
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Advances in Underwater Image Enhancement Models: A Comprehensive Review, Challenges, and Applications
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A content-style control network with style contrastive learning for underwater image enhancement
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Uieanything: zero-shot underwater image enhancement via advanced depth estimation, white balance models, and improved sea-thru
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A typhoon optimization algorithm and difference of CNN integrated bi-level network for unsupervised underwater image enhancement
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Adaptive contrast enhancement for underwater image using imaging model guided variational framework
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Underwater visible light communication: recent advancements and channel modeling
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Water-related optical imaging: From algorithm to hardware
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FDNet: Fourier transform guided dual-channel underwater image enhancement diffusion network
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Advances in Deep Learning for Underwater Image Enhancement: A Systematic Analysis of Architectures, Benchmarks, and Open Challenges
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U-TWGAN: Underwater image enhancement via wavelet-transformer and sparse multilayer perceptrons generative adversarial network
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GUCL: Generalization of underwater color-line model for underwater image enhancement
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Unsupervised underwater image enhancement via content-style representation disentanglement
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Feature distillation and guide network for unsupervised underwater image enhancement
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Image restoration using deep learning techniques: A comprehensive review
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UIEVUS: An underwater image enhancement method for various underwater scenes
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HASNet: Underwater image enhancement via Hierarchical Attention and Serial-Stage Decomposition
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GPLM: Enhancing underwater images with Global Pyramid Linear Modulation
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