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Deep learning in image processing (especially real-world photography)
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Similar repos: deep-imaging & Neural Networks for Low Level Image Processing
- Seems not maintained anymore
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Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild (ECCV 2022): Paper / GitHub (code to be committed)
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CameraNet: A Two-Stage Framework for Effective Camera ISP Learning (IEEE Transactions on Image Processing, 2020): Paper / GitHub
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Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline (CVPR 2020): Website / Paper / GitHub
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Hardware-in-the-loop End-to-end Optimization of Camera Image Processing Pipelines: Website / Paper
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Hyperparameter Optimization in Black-box Image Processing using Differentiable Proxies: Website / Paper
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Replacing Mobile Camera ISP with a Single Deep Learning Model: Website / Paper / GitHub
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Zoom to Learn, Learn to Zoom (CVPR 2019): Website / Paper / GitHub
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DeepISP: Towards Learning an End-to-End Image Processing Pipeline (IEEE TIP 2019): Paper / Dataset
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VisionISP: Repurposing the Image Signal Processor for Computer Vision Applications (ICIP 2019): IEEE
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Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing (ICCV 2019): Paper
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CameraNet: A Two-Stage Framework for Effective Camera ISP Learning: Paper
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DEEP LEARNING for Image and Video Processing: Slide
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Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network (ICCV 2017): Paper / Supplementary Material
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DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks (ICCV 2017): Paper / Website
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Deep Semantics-Aware Photo Adjustment: Paper
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Automatic Photo Adjustment Using Deep Neural Networks (ACM Transactions on Graphics, 2015): Paper / GitHub / Website
- Learning Multi-Scale Photo Exposure Correction: Paper / GitHub / PyTorch version
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CURL: Neural Curve Layers for Image Enhancemen: Paper / GitHub
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Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs (CVPR 2018): GitHub
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Similar GitHub repo: Awesome Image Aesthetic Assessment and Cropping
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Composition and Style Attributes Guided Image Aesthetic Assessment: Paper
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Neural Aesthetic Image Reviewer: Paper
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A Deep Learning Perspective on Beauty, Sentiment, and Remembrance of Art: Paper
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Image Aesthetics Assessment using Fully Convolutional Neural Networks: Paper
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Neural Image Assessment: Google AI Blog / Paper
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RAPID: Rating Pictorial Aesthetics using Deep Learning: Paper
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Composing Photos Like a Photographer (CVPR 2021): Paper / Supplement
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Reliable and Efficient Image Cropping: A Grid Anchor based Approach (CVPR 2019): Paper / GitHub1 / GitHub2 / GitHub3
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Speedy Neural Networks for Smart Auto-Cropping of Images: Website
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Similar repo: Awesome-Aesthetic-Evaluation-and-Cropping
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Learning Deep Convolutional Networks for Demosaicing: Website / Paper
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Deep Demosaicing using ResNet-Bottleneck Architecture: Paper
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Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution: Paper / GitHub
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Learning to Compose with Professional Photographs on the Web (ACM Multimedia 2017): Paper / GitHub / GitHub
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Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study (IEEE WACV 2017): Website / Paper / GitHub
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Object-based color constancy in a deep neural network (JOSA A 2023): Paper
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A Multi-Hypothesis Approach to Color Constancy: Paper / GitHub
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Dual Illumination Estimation for Robust Exposure Correction: Paper
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Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem: Paper
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Semantic White Balance: Semantic Color Constancy Using Convolutional Neural Network: Paper
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FC4: Fully Convolutional Color Constancy with Confidence-weighted Pooling (CVPR 2017): Paper / GitHub
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Related repo: Awesome Color Constancy
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CycleISP: Real Image Restoration via Improved Data Synthesis (CVPR 2020): Paper / GitHub
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Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation: Website
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A Holistic Approach to Cross-Channel Image Noise Modeling and its Application to Image Denoising (CVPR 2016): Paper / Supplementary Material / Website / GitHub