zjgirl Goto Github PK

auto_painter

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.

autocolorize

Automatic colorizaton of grayscale images using Deep Learning

awesome-image-colorization

:books: A collection of Deep Learning based Image Colorization and Video Colorization papers.

ccpd

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

colorization-1

Colorization using Optimization

colorization-tf

A Tensorflow implementation of ECCV2016 paper([Colorful Image Colorization](https://arxiv.org/pdf/1603.08511.pdf))

colorization_using_optimization

A python implementation of the Colorization Using Optimization algorithm

colornet

Neural Network to colorize grayscale images

comicolorization

This is the implementation of the "Comicolorization: Semi-automatic Manga Colorization"

comics-splitter

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

connectedcomponentlabeling

cp11fall_project1

Implementation of Edge-Preserving Multiscale Image Decomposition Based on Local Extrema

cs-notes

: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

DCGAN LSGAN WGAN WGAN-GP Tensorflow

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepcolor

Automatic coloring and shading of manga-style lineart, using Tensorflow + cGANs

deeplearninganimepapers

A list of papers and other resources on deep learning with anime style images.

fast-style-transfer

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

flask-blog

一个基于Flask的多人blog网站

friendly-fortnight

:wolf: K-Means Clustering using Python from Scratch :mushroom:

gan-timeline

A timeline showing the development of Generative Adversarial Networks (GAN).

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gittest

guli_parent

SpringBoot学习-在线教育项目搭建

guli_parent_web

halide

a language for fast, portable data-parallel computation

image-segmentation-using-region-growing

Image Segmentation using Region gropwing

interview_python

关于Python的面试题

iproc

Bilateral filter & joint bilateral filter