The goal of this bachelor thesis is to extend the work of Lugmayr et al.  in order to improve the generative network by using a learned image down sampler motivated from CAR network  instead of bicubic down sampling. The aim is to achieve a better image quality or a more robust SR network for images of Real-World data distribution.
 Lugmayr, Andreas, Martin Danelljan, and Radu Timofte. “Unsupervised learning for real-world super-resolution.” 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, 2019.
 Sun, Wanjie, and Zhenzhong Chen. “Learned image downscaling for upscaling using content adaptive resampler.” IEEE Transactions on Image Processing 29 (2020): 4027-4040.