add casual gan papers

Author: windj007

README.md

@@ -12,7 +12,7 @@ Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith G
 LaMa generalizes surprisingly well to much higher resolutions (~2k❗️) than it saw during training (256x256), and achieves the excellent performance even in challenging scenarios, e.g. completion of periodic structures.</b>
 </p>
 
-[[Project page](https://saic-mdal.github.io/lama-project/)] [[arXiv](https://arxiv.org/abs/2109.07161)] [[Supplementary](https://ashukha.com/projects/lama_21/lama_supmat_2021.pdf)] [[BibTeX](https://senya-ashukha.github.io/projects/lama_21/paper.txt)]
+[[Project page](https://saic-mdal.github.io/lama-project/)] [[arXiv](https://arxiv.org/abs/2109.07161)] [[Supplementary](https://ashukha.com/projects/lama_21/lama_supmat_2021.pdf)] [[BibTeX](https://senya-ashukha.github.io/projects/lama_21/paper.txt)] [[Casual GAN Papers Summary](https://www.casualganpapers.com/large-masks-fourier-convolutions-inpainting/LaMa-explained.html)]
 
 <p align="center">
   <a href="https://colab.research.google.com/github/saic-mdal/lama/blob/master//colab/LaMa_inpainting.ipynb">
@@ -31,9 +31,9 @@ LaMa generalizes surprisingly well to much higher resolutions (~2k❗️) than i
   <img src="https://raw.githubusercontent.com/senya-ashukha/senya-ashukha.github.io/master/projects/lama_21/gif_for_lightning_v1_white.gif" />
 </p>
 
-# Non-official 3rd party implementations / demos:
-(Feel free to share your implementation/demo by creating an issue)
-- [https://cleanup.pictures](https://cleanup.pictures/) by [@cyrildiagne](https://twitter.com/cyrildiagne)
+# Non-official 3rd party apps:
+(Feel free to share your app/implementation/demo by creating an issue)
+- [https://cleanup.pictures](https://cleanup.pictures/) - a simple interactive object removal tool by [@cyrildiagne](https://twitter.com/cyrildiagne)
 
 # Environment setup