Commit bf034f91 authored by Jacky Lin's avatar Jacky Lin
Browse files

Update README.md

parent dc93dc23
......@@ -38,7 +38,7 @@ pip install pytorch numpy pandas sklearn torchvision matplotlib plotly PIL tqdm
4. [Inpainting](Inpainting) refers to a conservation process where damaged, deteriorating, or missing parts of an artwork are filled in to present a complete image. Here, we specifically focus on filling the missing parts of the image. We use a subset of [ImageNet](http://www.image-net.org/) dataset to train our network. Every image inputed would be keep two version: the original version and a masked version. Masked images is created by adding a white mask to the center of the image. The task of generator is to fill these white areas to inpaint the image. The following image is a example of inpainting output. From top to bottom is masked image, inpainted image, original image
![in](inpaint-eg.png)
![in](img/inpaint-eg.png)
#### Reference
1. [Generative Adversarial Networks: Build Your First Models](https://realpython.com/generative-adversarial-networks/#your-first-gan)
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment