Implicit Transformer Network for Screen Content Image Continuous Super-Resolution (Supplementary Materials) Jingyu Yang 1 Huanjing Yue 1 Kun Li

Neural Information Processing Systems 

SCI1K and SCI1K-compression, will be public available after the acceptance of this work. Figure 1 presents some examples of our dataset. It can be observed that our dataset is constructed with various screen contents, such as documents, slides, gaming scenes, and cartoons. All the four datasets do not contain personally identifiable information or offensive content. Figure 1 presents the arbitrary SR results.