# ncnn-colorization-siggraph17

**Repository Path**: open-ai-tech/ncnn-colorization-siggraph17

## Basic Information

- **Project Name**: ncnn-colorization-siggraph17
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-09-16
- **Last Updated**: 2026-09-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# ncnn-colorization-siggraph17
Example of AI colorization with ncnn SIGGRAPH 2017.
![pict](https://user-images.githubusercontent.com/13585785/189326958-f5a8d6f8-caef-49bf-88da-ae494371195d.jpg)

## Prerequisites<br>
* Download model weights to models dir [siggraph17_color_sim.bin](https://github.com/magicse/ncnn-colorization-siggraph17/releases/download/v1.0.0/models.zip)
* Linux or Windows<br>
* Prebuilded NCNN lib with headers<br>
* Prebuilded OpenCV library with headers
* CPU or NVIDIA GPU + Vulkan<br>

## Usage:
```
COLOR_GAN -i 17.jpg
```

## Based on:<br>
###### Colorful Image Colorization [richzhang/colorization](https://github.com/richzhang/colorization)<br>
## <b>Colorful Image Colorization</b> [[Project Page]](http://richzhang.github.io/colorization/) <br>
[Richard Zhang](https://richzhang.github.io/), [Phillip Isola](http://web.mit.edu/phillipi/), [Alexei A. Efros](http://www.eecs.berkeley.edu/~efros/).