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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.