Take a look at the example below, with the low-resolution image on the left and the super resolution version on the right. The results are better than those delivered by traditional upscaling algorithms, and although the process is not instantaneous (it took around eight seconds per image on our 2017 MacBook Pro), it's fast enough to be a boon to designers and image editors of all stripes. Pixelation is smoothed away in a range of images, from illustration to photography to text. The Photoshop competitor today announced what it calls ML Super Resolution for the 60 Pro version of its software: a function that the company says can scale an image up to three times. Talk about Pixelmator Pro, share tips & tricks, tutorials, and other resources. But overall, the performance of Pixelmator's super resolution feature is extremely impressive. Howdy Pixelmator Pro 1.5.5 has just been released and it brings some significant improvements to ML Super Resolution and ML Denoise as well as two new Automator actions for those two features. AI super resolution adds lost sharpness to blurry images After our tests, we would say this claim needs a few caveats. Pixelmator Pro update improves ML Super Resolution and ML Denoise. The Photoshop competitor today announced what it calls "ML Super Resolution" for the $60 Pro version of its software: a function that the company says can scale an image up to three times its original resolution without image defects like pixelation or blurriness. The Pixelmator team says ML Super Resolution can be accomplished up to 15 times faster on an M1 Mac than was possible before. Now, this technology is making its way to consumers, with image editor Pixelmator among the first to offer such a feature. Pixelmator Pro 2.0. Researchers have shown that machine learning can enlarge low-resolution images, restoring detail that wasn't there before. Pixelmator Pro 2.0.4 brings new version of ML Super Resolution. The "zoom and enhance" trope is a TV cliché, but advances in AI are making it a reality.
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