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Call for CVPR 2021 Workshop Paper Usually, super-resolution (SR) is trained using pairs of high- and low-resolution images. Infinitely many high-resolution images can be downsampled to the same low-resolution image. That means that the problem is ill-posed and cannot be inverted with a deterministic mapping. …

Official CVPR 2021 Website LaTeX Template [Download] Submission [CMT] Guidelines [TLDR] What is the format for the submission? Main Paper: PDF | 8 Pages + Reference| 30MB | [Source] Supplementary: PDF or ZIP |100MB Put caption below figures/tables and end them with a dot. When are the submission deadlines? The deadline for the main paper is on the 16th of November. However, you have to register…

GAN — vs — Normalizing Flow The benefits of Normalizing Flow. In this article, we show how we outperformed GAN with Normalizing Flow. We do that based on the application super-resolution. There we describe SRFlow, a super-resolution method that outperforms state-of-the-art GAN approaches. We explain it in detail in our ECCV 2020 paper. Intuition for Conditional…