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Recently, realistic image generation using deep neural networks has become a hot topic in machine learning and computer vision. Such an image can be generated at pixel level by learning from a large collection of images. Learning to generate colorful cartoon images from black-and-white sketches is not only an interesting research problem, but also a useful application in digital entertainment. In this paper, we investigate the sketch-to-image synthesis problem by using conditional generative adversarial networks (cGAN). We propose a model called auto-painter which can automatically generate compatible colors given a sketch. Wasserstein distance is used in training cGAN to overcome model collapse and enable the model converged much better. The new model is not only capable of painting hand-draw sketch with compatible colors, but also allowing users to indicate preferred colors. Experimental results on different sketch datasets show that the auto-painter performs better than other existing image-to-image methods.
Automatic colorizaton of grayscale images using Deep Learning
:books: A collection of Deep Learning based Image Colorization and Video Colorization papers.
[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Colorization using Optimization
A Tensorflow implementation of ECCV2016 paper([Colorful Image Colorization](https://arxiv.org/pdf/1603.08511.pdf))
A python implementation of the Colorization Using Optimization algorithm
Neural Network to colorize grayscale images
This is the implementation of the "Comicolorization: Semi-automatic Manga Colorization"
Comics Splitter is a Python script that cut comic strip or manga page in panels. This allow the reader to have a better reading experience on small devices like ereader, smartphone or tablet
Implementation of Edge-Preserving Multiscale Image Decomposition Based on Local Extrema
:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
DCGAN LSGAN WGAN WGAN-GP Tensorflow
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Automatic coloring and shading of manga-style lineart, using Tensorflow + cGANs
A list of papers and other resources on deep learning with anime style images.
A TensorFlow implementation of real-time style transfer based on the paper 'Perceptual Losses for Real-Time Style Transfer and Super-Resolution' by Johnson et. al
一个基于Flask的多人blog网站
:wolf: K-Means Clustering using Python from Scratch :mushroom:
A timeline showing the development of Generative Adversarial Networks (GAN).
starter from "How to Train a GAN?" at NIPS2016
SpringBoot学习-在线教育项目搭建
a language for fast, portable data-parallel computation
Image Segmentation using Region gropwing
关于Python的面试题
Bilateral filter & joint bilateral filter
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.