Artificial intelligence keeps getting better. A group of scientists from China has developed an algorithm that can turn sketches into realistic portraits. It even works with pretty rough sketches, and the end results look very close to real photos of people.
We’ve already seen some AI software that can upsample low-res images. You know, CSI-style. Face Depixelizer is another AI-powered software, particularly focused on faces. It can take a pixelated, low-res photo and turn it into a realistic portrait. While the results are pretty impressive – the app doesn’t come without its quirks.
When AI-generated faces became more widespread and available, some people feared that these fake portraits could be misused. Well, their fears came true. On Friday, Facebook removed almost a thousand of fake profiles, pages, and groups that used photos generated by artificial intelligence. And according to the sources, all of them were used to push political, mainly right-wing campaigns.
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.