Gigapixel AI successfully determines which image features are stars (detail) and what's noise.

This is only possible through training and exposure to millions of test images.Ĭrisp photos that look like they were never upscaled Gigapixel is different: it increases the actual sharpness of your upscaled photo by recovering real detail in your image.Increasing edge contrast is the simplest way to make an image look 'sharp', and how most other upscaling software works.Recover real details for actual sharpness From enlarging scanned photographs, creating high-resolution crops in post-production, enlarging images to create high-quality prints, upscaling compressed images, to restoring low-resolution images from your old image libraries, Gigapixel AI succeeds where other image enlargement applications fail. Gigapixel AI comes in handy for a wide range of uses.Face Refinement will detect very small faces (16×16 px to 64×64 px) and apply targeted, improved upsampling through machine learning. You'll see a toggle in the right panel to enable/disable the new Face Refinement feature. With our latest developments in machine learning and image recognition, we've implemented automatic face refinement in Gigapixel AI to offer you more powerful and accurate face enlargement.Gigapixel AI's technology can instead create very believable and natural image detail that can often look amazing. Normally, if you start out with a low-quality image, you'll just end up with a bigger low-quality image if you upscale it. Pixel count isn't the only thing that affects image quality.This allows you to increase your photo's resolution and quality very naturally with minimal artifacts. It's been trained on enough images of different types of subjects (like portraits, landscapes, architecture, and more) to know what photo detail should look like. Gigapixel AI can make your image appear like it was captured with a much higher-quality camera.After learning from millions of images, it can now believably increase resolution on a wide variety of different subjects (portraits, wildlife, landscapes, architecture, etc) and image types (DSLR, web/compressed, CG). 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. Gigapixel AI helps you do a single thing very well: increase image resolution in a natural way.

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