In the video below, one of my favorite YouTube channels (Two Minute Papers) discusses a new super resolution project where academic scholars taught a neural network to improve low quality photo’s. The researchers took the same picture with multiple camera’s of varying quality and allowed a neural network to learn how the lowest quality pictures can be adjusted to more closely resemble their high quality counterparts. A very interesting approach and the results are just mind-boggling:


The scholars were nice enough to not only publish the paper open access, but also to open source the data. You can download a 125 Mb sample here or the original full 64 GB dataset here.