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To solve this problem, Gigapixel AI’s neural networks are continuously trained on a wide variety of sample images to understand how photorealistic detail looks. Most upscaling algorithms don’t know how to accurately fill in missing pixels, so you end up with blocky low-quality results. Unselecting and reselecting the current image in the file list can fix this issue.Gigapixel AI helps you do a single thing very well: increase image resolution in a natural way.
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Fixed processing errors on certain images when using face recovery.Fixed transparency handling in Photoshop plugin.Fixed many causes of Photoshop plugin not being found, returning errors, or not opening the app.Greatly improved face recovery memory usage and performance.Fixed face recovery using CPU too often on systems with mid-range GPUs.Enabled automatic fallback to face refinement (introduced in v5.9) on machines that do not support face recovery (introduced in v6.1).Improved the quality of all models by better preserving colors and removing color related block-shaped artifacts.This can streamline batch processing and offer a starting point for further tuning. Added auto model selection, which uses image content to compute a recommended model.
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