VitaminX2 / deep-image-processing

Deep learning in image processing

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Deep Image Processing


Processing Pipeline

  • CameraNet: A Two-Stage Framework for Effective Camera ISP Learning (IEEE Transactions on Image Processing, 2020): Paper / GitHub

  • Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline (CVPR 2020): Website / Paper / GitHub

  • Hardware-in-the-loop End-to-end Optimization of Camera Image Processing Pipelines: Website / Paper

  • Hyperparameter Optimization in Black-box Image Processing using Differentiable Proxies: Website / Paper

  • Replacing Mobile Camera ISP with a Single Deep Learning Model: Website / Paper / GitHub

  • Zoom to Learn, Learn to Zoom (CVPR 2019): Website / Paper / GitHub

  • DeepISP: Towards Learning an End-to-End Image Processing Pipeline (IEEE TIP 2019): Paper / Dataset

  • VisionISP: Repurposing the Image Signal Processor for Computer Vision Applications (ICIP 2019): IEEE

  • Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing (ICCV 2019): Paper

  • CameraNet: A Two-Stage Framework for Effective Camera ISP Learning: Paper

  • DEEP LEARNING for Image and Video Processing: Slide

  • Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network (ICCV 2017): Paper / Supplementary Material

  • DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks (ICCV 2017): Paper / Website

  • Deep Semantics-Aware Photo Adjustment: Paper

  • Automatic Photo Adjustment Using Deep Neural Networks (ACM Transactions on Graphics, 2015): Paper / GitHub / Website


Image Enhancement

  • CURL: Neural Curve Layers for Image Enhancemen: Paper / GitHub

  • Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs (CVPR 2018): GitHub


Aesthetics


Cropping/Composition


Demosaicing

  • Learning Deep Convolutional Networks for Demosaicing: Website / Paper

  • Deep Demosaicing using ResNet-Bottleneck Architecture: Paper

  • Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution: Paper / GitHub

  • Learning to Compose with Professional Photographs on the Web (ACM Multimedia 2017): Paper / GitHub / GitHub

  • Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study (IEEE WACV 2017): Website / Paper / GitHub

  • Papers with Code: Demosaicking


White Balance/Illuminant Estimation/Color Constancy

  • A Multi-Hypothesis Approach to Color Constancy: Paper / GitHub

  • Deep White-Balance Editing: Paper / GitHub

  • Dual Illumination Estimation for Robust Exposure Correction: Paper

  • Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem: Paper

  • Semantic White Balance: Semantic Color Constancy Using Convolutional Neural Network: Paper

  • FC4: Fully Convolutional Color Constancy with Confidence-weighted Pooling (CVPR 2017): Paper / GitHub

  • Papers with Code: Color Constancy

  • Related repo: Awesome Color Constancy


Denoising/Noise Modeling

  • CycleISP: Real Image Restoration via Improved Data Synthesis (CVPR 2020): Paper / GitHub

  • Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation: Website

  • A Holistic Approach to Cross-Channel Image Noise Modeling and its Application to Image Denoising (CVPR 2016): Paper / Supplementary Material / Website / GitHub


Datasets

  • MIT-Adobe FiveK Dataset: Website

  • Smartphone Image Denoising Dataset: Website

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Deep learning in image processing