“Put merely, it takes into account the real material of every image, trying to acknowledge patterns, textures, and edges, recreating information based on our dataset and comprehensive training,” describes Pixelmator on the company blogBusiness In practice, it looks like this: And here are a couple of samples. On the left is the basic bilinear upscaling that you can utilize in, state, Photoshop; on the right is ML Super Resolution upscaling: To dive deeper into how the network was trained and how this works precisely, head over to the Pixelmator site.
“Put merely, it takes into account the real material of every image, trying to acknowledge patterns, textures, and edges, recreating information based on our dataset and substantial training,” discusses Pixelmator on the company blogBusiness In practice, it looks like this: And here are a couple of samples. On the left is the basic bilinear upscaling that you can utilize in, state, Photoshop; on the right is ML Super Resolution upscaling: To dive deeper into how the network was trained and how this works precisely, head over to the Pixelmator site.
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