A curated list of Underwater Image Enhancement (UIE) papers and resources, inspired by Awesome-Inpainting-Tech.
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- WACV (Transformer) Phaseformer: Phase-based Attention Mechanism for Underwater Image Restoration and Beyond. [code]
- arXiv (Hybrid) OceanLens: An Adaptive Backscatter and Edge Correction using Deep Learning Model for Enhanced Underwater Imaging. [code]
- IJCV (Hybrid) HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning. [code]
- Neurocomputing (Diffusion) BDMUIE: Underwater image enhancement based on Bayesian diffusion model.
- arXiv (CNN) Underwater Image Enhancement with Cascaded Contrastive Learning. [code]
- ICASSP (CNN) Underwater Image Restoration via Polymorphic Large Kernel CNNs. [code]
- ESWA (CNN) Deep dive into clarity: Leveraging signal-to-noise ratio awareness and knowledge distillation for underwater image enhancement.
- arXiv (Review) A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning. [code]
- arXiv (Mamba) WaterMamba: Visual State Space Model for Underwater Image Enhancement. [code]
- ACCV (Mamba) PixMamba: Leveraging State Space Models in a Dual-Level Architecture for Underwater Image Enhancement. [code]
- WACV (Hybrid) PhISH-Net: Physics Inspired System for High Resolution Underwater Image Enhancement.
- Neurocomputing (Hybrid) LUIE: Learnable physical model-guided underwater image enhancement with bi-directional unsupervised domain adaptatio.
- JOE (Hybrid) UIE-SFIFormer: Underwater Image Enhancement Based on Physical-Guided Spatial-Frequency Interaction Transformer.
- TGARS (GAN) NPT-UL: An Underwater Image Enhancement Framework Based on Nonphysical Transformation and Unsupervised Learning.
- arXiv (Diffusion) Underwater Image Enhancement by Diffusion Model with Customized CLIP-Classifier. [code] [project]
- TMM (Diffusion) DiffUIE: Learning Latent Global Priors in Diffusion Models for Underwater Image Enhancement.
- TGARS (Diffusion) DCGF: Diffusion-Color-Guided Framework for Underwater Image Enhancement.
- arXiv (CNN) LU2Net: A Lightweight Network for Real-time Underwater Image Enhancement.
- arXiv (CNN) FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color Encoder. [code]
- arXiv (CNN) A Physical Model-Guided Framework for Underwater Image Enhancement and Depth Estimation.
- TMM (CNN) UIERL: Internal-External Representation Learning Network for Underwater Image Enhancement. [code]
- TCSVT (CNN) See Through Water: Heuristic Modeling towards Color Correction for Underwater Image Enhancement.
- ICVGIP (CNN) IDA-UIE: An Iterative Framework for Deep Network-based Degradation Aware Underwater Image Enhancement.
- TIP (Transformer) U-Shape Transformer for Underwater Image Enhancement. [code] [project]
- C&G (Transformer) UDAformer: Underwater image enhancement based on dual attention transformer. [code]
- TCSVT (Traditional) A Perception-Aware Decomposition and Fusion Framework for Underwater Image Enhancement.
- TCSVT (Traditional) Underwater Image Quality Improvement via Color Detail and Contrast Restoration.
- TCSVT (Traditional) Underwater Image Enhancement via Weighted Wavelet Visual Perception Fusion. [code]
- SPL (Traditional) Underwater Image Enhancement via Piecewise Color Correction and Dual Prior Optimized Contrast Enhancement. [code]
- EAAI (Traditional) HFM: A hybrid fusion method for underwater image enhancement. [code]
- arXiv (Hybrid) WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond.
- TIP (Hybrid) PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators. [code] [project]
- Electronics (Hybrid) Underwater Image Enhancement Method Based on Improved GAN and Physical Model.
- Displays (Hybrid) Underwater image co-enhancement based on physical-guided transformer interaction.
- ACM-MM (Hybrid) A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancement. [code]
- TIP (GAN) Domain Adaptation for Underwater Image Enhancement. [code]
- TCSVT (Diffusion) Speed-Up DDPM for Real-time Underwater Image Enhancement.
- JVCIR (Diffusion) Underwater image enhancement method based on denoising diffusion probabilistic model.
- ESWA (Diffusion) UIEDP: Boosting underwater image enhancement with diffusion prior. [project]
- ACM-MM (Diffusion) Underwater Image Enhancement by Transformer-based Diffusion Model with Non-uniform Sampling for Skip Strategy. [code]
- arXiv (CNN) DGNet: Dynamic Gradient-guided Network with Noise Suppression for Underwater Image Enhancement.
- arXiv (CNN) IA2U: A Transfer Plugin with Multi-Prior for In-Air Model to Underwater.
- arXiv (CNN) Physics-Aware Semi-Supervised Underwater Image Enhancement.
- arXiv (CNN) Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement. [code]
- TCSVT (CNN) UIALN: Enhancement for Underwater Image With Artificial Light. [code]
- ICRA (CNN) SyreaNet: A Physically Guided Underwater Image Enhancement Framework Integrating Synthetic and Real Images. [code]
- ICME (CNN) Transmission and Color-guided Network for Underwater Image Enhancement.
- EAAI (CNN) Multi-view underwater image enhancement method via embedded fusion mechanism.
- CVPR (CNN) Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank. [code]
- TGARS (Transformer) Reinforced Swin-Convs Transformer for Simultaneous Underwater Sensing Scene Image Enhancement and Super-resolution. [code]
- ACCV (Transformer) AutoEnhancer: Transformer on U-Net Architecture search for Underwater Image Enhancement. [code]
- TIP (Traditional) Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement. [code] [project]
- TIP (Traditional) Underwater Image Enhancement with Hyper-Laplacian Reflectance Priors. [code]
- TGARS (Traditional) TEBCF: Real-World Underwater Image Texture Enhancement Model Based on Blurriness and Color Fusion. [code]
- JOE (Traditional) Underwater Image Enhancement by Attenuated Color Channel Correction and Detail Preserved Contrast Enhancement. [code]
- TIP (GAN) Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond. [code]
- TCSVT (GAN) Target Oriented Perceptual Adversarial Fusion Network for Underwater Image Enhancement. [code]
- PR (GAN) Two-step domain adaptation for underwater image enhancement.
- Displays (GAN) RCA-CycleGAN: Unsupervised underwater image enhancement using Red Channel attention optimized CycleGAN.
- CVPRW (GAN) AquaGAN: Restoration of Underwater Images.
- TMM (CNN) Underwater Image Enhancement With Lightweight Cascaded Network.
- TIP (CNN) SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-Scale Perception. [code] [project]
- Frontiers in Marine Science (CNN) Lighting the darkness in the sea: A deep learning model for underwater image enhancement. [code]
- ECCV (CNN) Uncertainty Inspired Underwater Image Enhancement. [code]
- AAAI (CNN) Unsupervised Underwater Image Restoration: From a Homology Perspective. [code]
- TPAMI (Traditional) Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset.
- TGARS (Traditional) An Underwater Image Vision Enhancement Algorithm Based on Contour Bougie Morphology. [code]
- EAAI (Traditional) Bayesian retinex underwater image enhancement. [code]
- TCSVT (Hybrid) Perceptual Underwater Image Enhancement With Deep Learning and Physical Priors.
- Neurocomputing (Hybrid) IPMGAN: Integrating physical model and generative adversarial network for underwater image enhancement.
- JOE (Hybrid) Underwater Image Enhancement via Physical-Feedback Adversarial Transfer Learning.
- SPL (GAN) Two-Branch Deep Neural Network for Underwater Image Enhancement in HSV Color Space.
- TIP (CNN) Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding. [code] [project]
- IMAGE (CNN) UIECè—›2-Net: CNN-based Underwater Image Enhancement Using Two Color Space. [code]
- CVPRW (Traditional) L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion. [code]
- IMAGE (Review) Diving Deeper into Underwater image enhancement: A survey. [code]
- RA-L (GAN) Fast Underwater Image Enhancement for Improved Visual Perception. [code] [project]
- JOE (GAN) Underwater Image Enhancement Using a Multiscale Dense Generative Adversarial Network. [code]
- TIP (CNN) An Underwater Image Enhancement Benchmark Dataset and Beyond. [code] [project]
- PR (CNN) Underwater scene prior inspired deep underwater image and video enhancement. [code] [project]
- IMAGE (CNN) Underwater image enhancement with global-local networks and compressed-histogram equalization. [code] [project]
- TCSVT (Benchmark) Real-World Underwater Enhancement: Challenges Benchmarks and Solutions Under Natural Light. [code]
- CVPR (Traditional) Sea-thru: A Method For Removing Water From Underwater Images. [code] [project]
- arXiv (GAN) UWGAN: Underwater GAN for Real-world Underwater Color Restoration and Dehazing. [code]
- CVPRW (GAN) All-In-One Underwater Image Enhancement using Domain-Adversarial Learning. [code]
- TIP (Traditional) Color Balance and Fusion for Underwater Image Enhancement. [code]
- CVPR (Traditional) A Revised Underwater Image Formation Model.
- SPL (GAN) Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer. [code] [project]
- RA-L (GAN) WaterGAN: Unsupervised Generative Network to Enable Real-Time Color Correction of Monocular Underwater Images. [code]
- ICRA (GAN) Enhancing Underwater Imagery Using Generative Adversarial Networks. [code] [project]
- TIP (Traditional) Underwater Image Restoration Based on Image Blurriness and Light Absorption.
- PRL (Traditional) A hybrid method for underwater image correction.
- Neurocomputing (Traditional) Underwater image enhancement via extended multi-scale Retinex.
- ICCV (Traditional) Depth and Image Restoration from Light Field in a Scattering Medium.
- ICIP (CNN) A deep CNN method for underwater image enhancement.
- TIP (Traditional) Underwater Image Enhancement by Dehazing with Minimum Information Loss and Histogram Distribution Prior. [code]
- ICIP (Traditional) Underwater image restoration based on minimum information loss principle and optical properties of underwater imaging.
- JVCIR (Traditional) Automatic Red-Channel underwater image restoration. [code]
- ICRA (Traditional) Simultaneous Underwater Visibility Assessment Enhancement and Improved Stereo.
- ICIP (Traditional) A retinex-based enhancing approach for single underwater image. [code] [project]
- ICCVW (Traditional) Transmission Estimation in Underwater Single Images. [code]
- TIP (Traditional) Underwater Image Enhancement by Wavelength Compensation and Dehazing. [code]
- TIP (Traditional) Turbid Scene Enhancement Using Multi-Directional Illumination Fusion.
- CVPR (Traditional) Enhancing Underwater Images and Videos by Fusion. [code]
- JOE (Traditional) Recovery of Underwater Visibility and Structure by Polarization Analysis.
- CVPR (Traditional) Clear Underwater Vision.