A group of MIT researchers has come up with a way to recover lost details from your blurry images and even videos. They have developed an algorithm that recognizes and automatically recovers blurred parts in your videos and stills.
We’ve already seen that AI-generated faces can look so realistic that it’s sometimes difficult to distinguish them from real ones. And if you want to put a fake headshot to use, Generated Photos lets you choose from 100,000 AI-generated faces. They’re all free for download and you can use them whichever way you want. What’s more, many of them look so good that it’s hard to tell them apart from photos licensed by stock photo companies.
From relighting images to removing backgrounds, the applications of AI tools in photography are many. The new AI-powered tool introduced by Chinese scientists can accurately fill in the blank spaces in all kinds of photos. Be it a front of a building, a landscape photo, even a portrait – the AI is trained to fill in the gap surprisingly accurately.
NVIDIA’s researchers came up with an impressive algorithm that’s able to generate realistic faces. Some of them are so realistic that you may have a hard time figuring out that they were computer-generated. If you’re up for a challenge, there’s now a website where you can test how many fake faces you can distinguish from real ones. It can get more difficult than you may think.
We’ve seen NVIDIA’s impressive content aware tool and noise removing tool. They have recently developed a generative adversarial network (GAN) which easily customizes styles of realistic faces and creates new faces. That’s right, these super-realistic faces you can see in the lead image are not real at all!
Chinese company Xiaomi is working on an algorithm that will improve low-quality images. The company wants to compete with Apple regarding smartphone photography, and it has just published a new paper on the AI network called “DeepExposure.” It uses machine learning to improve low-quality images by adding them detail while enhancing colors and brightness.
We’ve seen some of the algorithms that can enhance low-quality photos. The researchers from Oxford University and the Skolkovo Institute of Science and Technology in Moscow have developed a new approach for restoring damaged or low-quality images. Instead of training the neural network with thousands of photos, their system called Deep Image Prior works everything out from the original image. And without any previous learning, it turns a pixelated or damaged photo into a hi-res one.
We’ve seen several uses of AI aimed at improving photos. Whether it’s improving their resolution, or turning selfies into decent portraits, they usually work on a single, existing photo. But a method from NVIDIA generates the photos of people that don’t actually exist. And it’s interesting and kinda creepy at the same time.
The scientists of Max Planck Institute for Intelligent Systems in Germany have developed a new algorithm. It enhances low-res images so that they miraculously become hi-res and sharp. It only needs a single low-resolution input, and it will increase its resolution while retaining the realistic textures and details.