Overall, Pixelmator seems to be offering the best commercial super resolution tool we’ve seen (let us know in the comments if you know of a better one), and every day, “zoom and enhance” becomes less of a joke.Ĭorrection: An earlier version of this story included comparisons between images that had been non-destructively downsized then upscaled using Pixelmator’s ML Super Resolution, resulting in unrealistically improved results. Adobe has also released a super resolution feature, but the results are, again, less dramatic. In our tests, the output from these sites was of a more mixed quality than Pixelmator’s (though it was generally good), and free users can only process a small number of images. There are a number of single-use super resolution tools online, including and LetsEnhance.io. The company isn’t the first to offer this technology commercially. It’s trained on a range of images in order to anticipate users’ different needs, but the training dataset is surprisingly small - just 15,000 samples were needed to create Pixelmator’s ML Super Resolution tool. It’s just 5MB in size, compared to research algorithms that are often 50 times larger. Pixelmator’s creators told The Verge that their algorithm was made from scratch in order to be lightweight enough to run on users’ devices.
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With over 50 image editing tools, Pixelmator Pro has everything you need to edit photos, draw illustrations, create designs, paint digital paintings, and be creative in just about any way you can imagine. Then when it’s shown a low-resolution picture it’s never seen before, it predicts what extra pixels are needed and inserts them. Pixelmator Pro is an incredibly powerful, beautiful, and easy-to-use image editor designed exclusively for Mac. The algorithm compares this data and creates rules for how the pixels change from image to image.
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In each case, the software is trained on a dataset containing pairs of low-resolution and high-resolution images. Research into super resolution has been ongoing for some time now, with tech companies like Google and Nvidia creating their own algorithms in the past few years. The zoom and enhance trope is a TV clich, but advances in AI are slowly making it a reality.
The algorithm learns to predict new details pixel by pixel AI super resolution lets you ‘zoom and enhance’ in Pixelmator Pro.
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