Giter Site home page Giter Site logo

liuguoyou / stylebank Goto Github PK

View Code? Open in Web Editor NEW

This project forked from jxcodetw/stylebank

0.0 4.0 0.0 101.63 MB

Implementation of the paper: StyleBank: An Explicit Representation for Neural Image Style Transfer

Jupyter Notebook 99.87% Python 0.13%

stylebank's Introduction

Stylebank

Implementation of the paper: StyleBank: An Explicit Representation for Neural Image Style Transfer

Implemented

  • Training
  • Incremental Learning

Training

  1. Prepare your content image dataset (I use MS-COCO)
  2. Prepare your style image dataset

It takes about 1 days to train on a GeForce GTX 1080 Ti. Pre-trained weights are provided. Just load the encoder, decoder and the stylebank you want.

Examples

Style Source Transfered

stylebank's People

Contributors

jxcodetw avatar

Watchers

James Cloos avatar 刘国友 avatar  avatar paper2code - bot avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.