![]() This model can then up-sample the photos and “create” details to fill in the blanks. Gigapixel is built around a similar principle: train a machine learning model with a set of low- and high-resolution image pairs so that the computer eventually learns what a low-resolution area could look like in high resolution. It’s even been implemented into existing consumer products, most notably in Topaz’s Gigapixel AI software. AI upscaling has been around for a while. Photoshop Super Resolution Versus Topaz Gigapixel AI Currently available in Camera Raw 13.2 and coming soon to Lightroom and Lightroom Classic, Super Resolution uses a machine learning model to “intelligently enlarge photos while maintaining clean edges and preserving important details.” In practice, it’s a one-click way to quadruple your photo’s megapixel count, while retaining much more detail than “dumb” upscaling, like bicubic and nearest neighbor methods. ![]() ![]() If you’re not caught up on Photoshop’s notes, Adobe Camera Raw has received a new feature called Super Resolution.
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