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Blurry Video Frame Interpolation (CVPR20)
Collection of Blind Image Quality Metrics in Matlab
The repository is an official implementation of our CVPR2020 paper : Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
CVPR2014-Convolutional neural networks for no-reference image quality assessment
PyTorch Implementation of image quality assessment methods: IQA-CNN++ in ICIP2015 and IQA-CNN in CVPR2014
A Comparative Study for Single Image Blind Deblurring (CVPR 2016)
An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
Image Deblurring using Generative Adversarial Networks
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
Deep learning way for blind image quality assessment
DeepDeblur: Text Image Recovery from Blur to Sharp
Deep Multi-scale CNN for Dynamic Scene Deblurring
This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)
NR and FR IQA models based on Deep Convolutional Neural Networks
S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight
face quality assessment
Reference: Illumination Quality Assessment for Face Images: A Benchmark and A Convolutional Neural Networks Based Model
基于稀疏表示的无参考型图像质量评价
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
CNN-based no-reference image quality assessment
Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017)
A fast ssim & ms-ssim implement code with pytorch jit.
A no reference image quality assessment CNN
Code for scaling together the results of pairwise comparison and rating experiments
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.