When the 50-second silent short film L'Arrivée d'un train en gare de La Ciotat premiered in 1896, some theatergoers reportedly ran for safety at the sight of a projected approaching train, thinking that a real one would burst through the screen at any moment, Looney Tunes-style. A wild thought, given the blurry, low-resolution quality of the original film. Thankfully those panicky cinephile pioneers never saw the AI-enhanced upscaled version released by Denis Shiryaev, or they would have absolutely flipped their lids. Shiryaev leveraged a pair of publically available enhancement programs, DAIN and Topaz Labs' Gigapixel AI, to transform the original footage into a 4K 60FPS clip. Gigapixel AI uses a proprietary interpolation algorithm which "analyzes the image and recognizes details and structures and'completes' the image" according to Topaz Labs' website.

With our latest developments in machine learning and image recognition, we've implemented automatic face refinement in Gigapixel AI to offer you more powerful and accurate face enlargement. You'll see a toggle in the right panel to enable/disable the new Face Refinement feature. Face Refinement will detect very small faces (16 16 px to 64 64 px) and apply targeted, improved upsampling through machine learning. Ordinarily, faces this small in dimension can be very difficult to upscale, leaving them vulnerable to unpredictable results during enlargement. With our latest improvement, Gigapixel AI produces a more seamless enlargement of faces within your photos, so you'll be satisfied with more natural-looking results!

Intel Distribution of OpenVINO toolkit optimization delivers high-quality image upscaling at higher speeds with Intel Core processors. Photo upscaling has long been limited by the capabilities of existing technology. Once a photo is taken, the size and number of pixels are set in stone. Trying to stretch those pixels into a larger format causes clarity and quality to suffer immediately. Thanks to advancements in machine learning, Topaz Labs has been able to harness the power of artificial intelligence to more elegantly overcome this hurdle.

The recent AI boom has had all sorts of weird and wonderful side effects as amateur tinkerers find ways to repurpose research from universities and tech companies. But one of the more unexpected applications has been in the world of video game mods. Fans have discovered that machine learning is the perfect tool to improve the graphics of classic games. The technique being used is known as "AI upscaling." In essence, you feed an algorithm a low-resolution image, and, based on training data it's seen, it spits out a version that looks the same but has more pixels in it.