If you have some images that you could share with us that we could use for testing, I can promise we'd take them into account when making improvements. The 1.5.4 update includes version 2 of the ML Denoise algorithm (or 1.1, at least) and Pixelmator Pro 1.5.5 will bring ML Denoise v1.2 with some more improvements, especially for very heavy image noise. In situations like that, it might be best to first downscale the image, then use ML Super Resolution to upscale it.Īs for ML Denoise, some examples would also help. Also, the algorithm isn't designed to sharpen blurry images that have already been upscaled using one of the traditional algorithms. It's really good at recognizing small details and upscaling them realistically (unlike the classic algorithms) but the data does have to be in the image. The examples on our blog are all 100% real but it's also important to note that, at least for now, the algorithm cannot introduce details that aren't already in the image. Without seeing examples of the types of images you're upscaling, it's difficult to say what could be going wrong. Is there any setting i have to change? In your explanations it seemed like all macs that support Metal can do the processing albeit needing more time for it but in the end the effect should still be the same. The ML Denoise feature also does not do much. It changes how some pixels look but even with the sample images you provide i cannot get any real sharpening that is close to your examples. It takes about 3 minutes for every picture to process and the result is not the same as nothing but very close to nothing. By hupey 08:25:57 I installed the update on my Macbook Pro 13 inch (early 2015) and just like the ML Denoise feature that you introduced a couple of versions earlier, the ML Super Resolution filter does not work on my mac.
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