diff --git a/README.md b/README.md
index cbe5076..93db966 100644
--- a/README.md
+++ b/README.md
@@ -1,10 +1,15 @@
-# comixify
+Repository with code for the "Comixify: Transform video into a comics" paper, that can be faound here:
+https://arxiv.org/abs/1812.03473
 
-#TODO:
-- [ ] Prepare readme
-- [x] Download videos directly from YouTube
-- [x] Fix model loading to memory
-- [x] Replace ffmpeg with some keyframes extractor
-- [x] Prepare own ComixGAN
-- [ ] Prepare some more intelligent method for comic layout
-- [ ] Prepare some method for voice extraction
+In this paper, we propose a solution to transform a video into a comics. We approach this task using a
+neural style algorithm based on Generative Adversarial Networks (GANs). Several recent works in
+the field of Neural Style Transfer showed that producing an image in the style of another image is
+feasible. In this paper, we build up on these works and extend the existing set of style transfer use
+cases with a working application of video comixification. To that end, we train an end-to-end solution
+that transforms input video into a comics in two stages. In the first stage, we propose a state-of-the-art
+keyframes extraction algorithm that selects a subset of frames from the video to provide the most
+comprehensive video context and we filter those frames using image aesthetic estimation engine. In
+the second stage, the style of selected keyframes is transferred into a comics. To provide the most
+aesthetically compelling results, we selected the most state-of-the art style transfer solution and based
+on that implement our own ComixGAN framework. The final contribution of our work is a Web-based
+working application of video comixification available at http://comixify.ii.pw.edu.pl