# FacialCartoonization

**Repository Path**: mllgblgsm/FacialCartoonization

## Basic Information

- **Project Name**: FacialCartoonization
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-11-02
- **Last Updated**: 2024-12-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# White-box facial image cartoonizaiton

- Pytorch implementation of a simple facial image cartoonizaiton netowrk
- This work is an improvement based on CVPR2020 White-box cartoonizaiton paper 
- [project page](https://systemerrorwang.github.io/White-box-Cartoonization/) |   [paper](https://github.com/SystemErrorWang/White-box-Cartoonization/blob/master/paper/06791.pdf) |   [twitter](https://twitter.com/IlIIlIIIllIllII/status/1243108510423896065) |   [zhihu](https://zhuanlan.zhihu.com/p/117422157) |   [bilibili](https://www.bilibili.com/video/av56708333)


### Some results

<img src="results/00050.jpg" width="512px"/>
<img src="results/00051.jpg" width="512px"/>
<img src="results/00055.jpg" width="512px"/>
<img src="results/00064.jpg" width="512px"/>
<img src="results/00066.jpg" width="512px"/>
<img src="results/00067.jpg" width="512px"/>
<img src="results/00069.jpg" width="512px"/>
<img src="results/00089.jpg" width="512px"/>
<img src="results/00091.jpg" width="512px"/>
<img src="results/00094.jpg" width="512px"/>
<img src="results/00096.jpg" width="512px"/>
<img src="results/00097.jpg" width="512px"/>

### Installation

- Install pytorch, you don't even need cuda and gpu
- Opencv, numpy and tqdm are needed, I think you already have them

### Inference with Pre-trained Model

- Crop your facial image to 256*256 pixel
- Save them in the 'images' folder
- Run 'inference.py', output will be saved in 'results' folder

### Training code

- Sorry, it's not available now, I am still working on improving this work
- If I am lucky enough, maybe this method will appear in a paper


### License
- Copyright (C) Xinrui Wang All rights reserved. Licensed under the CC BY-NC-SA 4.0 
- license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
- Commercial application is prohibited, please remain this license if you clone this repo