Commit 06c7a052 authored by Jacky Lin's avatar Jacky Lin
Browse files

Update README.md

parent e03014de
......@@ -36,7 +36,7 @@ pip install pytorch numpy pandas sklearn torchvision matplotlib plotly PIL tqdm
![anime](img/anime-eg.png)
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 [CIFAR-10](https://www.cs.toronto.edu/~kriz/cifar.html) and [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
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
![anime](inpaint-eg.png)
......@@ -45,4 +45,5 @@ pip install pytorch numpy pandas sklearn torchvision matplotlib plotly PIL tqdm
2. [Animation dataset](https://drive.google.com/file/d/0B4wZXrs0DHMHMEl1ODVpMjRTWEk/view)
3. [animeGAN](https://github.com/jayleicn/animeGAN)
4. [DCGAN](https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html)
5. [Context-Encoder GAN for Image Inpainting [PyTorch]](https://www.kaggle.com/balraj98/context-encoder-gan-for-image-inpainting-pytorch/output)
5. [Context-Encoder GAN for Image Inpainting](https://www.kaggle.com/balraj98/context-encoder-gan-for-image-inpainting-pytorch/output)
6. [Tiny ImageNet Kaggle](https://www.kaggle.com/akash2sharma/tiny-imagenet)
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