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Image Enhancement

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하위 태스크: 10
평가표: 7
보존된 평가 기록: 26

Image Enhancement is basically improving the interpretability or perception of information in images for human viewers and providing ‘better’ input for other automated image processing techniques. The principal objective of Image Enhancement is to modify attributes of an image to make it more suitable for a given task and a specific observer.

Source: A Comprehensive Review of Image Enhancement Techniques

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/505030475/ExtremeLowLight

공식 코드

Learning an Adaptive Model for Extreme Low-light Raw Image Processing

https://github.com/5chen/mixnet

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MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration

https://github.com/7407810/brightness-perceiving-for-recursive-llie

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Brightness Perceiving for Recursive Low-Light Image Enhancement

https://github.com/983632847/awesome-multimodal-object-tracking

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MambaTrack: Exploiting Dual-Enhancement for Night UAV Tracking

https://github.com/Algolzw/FoD

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Forward-only Diffusion Probabilistic Models

https://github.com/Anonymous1563/Bayesian-Enhancement-Model

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Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement

https://github.com/Au3C2/Generator-Versus-Segmentor

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Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis

https://github.com/BIGWangYuDong/UWEnhancement

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UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space

https://github.com/Baoliang93/IACA_For_Lowlight_IQA

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Gap-closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image Enhancement

https://github.com/CVMI-Lab/UHDM

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Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing

https://github.com/CXH-Research/DeVigNet

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Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer With Adaptive Channel Expansion

https://github.com/CXH-Research/FilmNet

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A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement

https://github.com/CXH-Research/StainRestorer

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High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer

https://github.com/CXH-Research/UIE-UnFold

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UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement

https://github.com/CXH-Research/UIR-PolyKernel

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Underwater Image Restoration via Polymorphic Large Kernel CNNs

https://github.com/ChenyangLEI/CVPR2020-Polarized-Reflection-Removal-with-Perfect-Alignment

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Polarized Reflection Removal with Perfect Alignment in the Wild

https://github.com/ChenyangLEI/deep-video-prior

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Blind Video Temporal Consistency via Deep Video Prior

https://github.com/ElementAI/HighRes-net

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HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery

https://github.com/Francisdadada/GRN

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Segmentation-Aware Generative Reinforcement Network (GRN) for Tissue Layer Segmentation in 3-D Ultrasound Images for Chronic Low-back Pain (cLBP) Assessment

https://github.com/FuxiComputerVision/Nefii

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NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect Illumination

https://github.com/GuoLanqing/ReLLIE

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ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement

https://github.com/He-Jinhong/CFWD

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Low-light Image Enhancement via CLIP-Fourier Guided Wavelet Diffusion

https://github.com/HuiZeng/Image-Adaptive-3DLUT

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Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

https://github.com/IDKiro/StarEnhancer

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StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement

https://github.com/ImCharlesY/SepLUT

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SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement

https://github.com/Jakaria08/Filter_Enhance_Detect

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Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

https://github.com/JianghaiSCU/Diffusion-Low-Light

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Low-Light Image Enhancement with Wavelet-based Diffusion Models

https://github.com/JosephPB/XNet

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XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets

https://github.com/Jumponthemoon/WeatherGS

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WeatherGS: 3D Scene Reconstruction in Adverse Weather Conditions via Gaussian Splatting

https://github.com/KarelZhang/RUAS

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Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement

https://github.com/Li-Chongyi/Lighting-the-Darkness-in-the-Deep-Learning-Era-Open

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Low-Light Image and Video Enhancement Using Deep Learning: A Survey

https://github.com/Li-Chongyi/Zero-DCE

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Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

https://github.com/LintaoPeng/SS-UIE

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Adaptive Dual-domain Learning for Underwater Image Enhancement

https://github.com/LintaoPeng/U-shape_Transformer

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U-shape Transformer for Underwater Image Enhancement

https://github.com/Lu-Yang666/LDNet

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Label Drop for Multi-Aspect Relation Modeling in Universal Information Extraction

https://github.com/Mdraqibkhan/Phaseformer

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Phaseformer: Phase-based Attention Mechanism for Underwater Image Restoration and Beyond

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.