Topaz Gigapixel 4 Released. Following the performance issues, I’ve ignored Topaz Gigapixel. Then when version 4 released at the end of April 2020 I decided to give it another try. What follows are the tests that I’ve done and an honest review of Gigapixel AI’s performance. First Impressions of Gigapixel AI 4.
Topaz Gigapixel AI 4.4.3
Beautiful photo enlargements using machine learning. Enlarging your image without losing detail has always been impossible… until now. Upscale your photos by up to 600% while perfectly preserving image quality.
Enlarge Images by up to 600%
Create a beautiful 80 x 60 inch print from a simple iPhone photo. Or transform your DSLR photos into sharp and ultra-detailed 100MP images.
Use truly intelligent upscaling
After being trained with millions of sample images, Gigapixel can now enlarge your images with a surprising level of quality.
Get crisp and clear results.
Gigapixel performs around 2 million operations per pixel to get you results with as much detail and sharpness as possible. ![]()
No more fuzzy enlargements.
Breathtakingly sharp prints. High-resolution cropping in post-production. iPhone photos that look like they came out of a DSLR. No matter why you’re enlarging your photos, you always want the best possible quality for your results. AI Gigapixel is currently the only photo enlargement product available that can actually add detail back to your upscaled photo.
Recover real details for actual sharpness
Increasing edge contrast is the simplest way to make an image look “sharp”, and how most other upscaling software works. Gigapixel is different: it increases the actual sharpness of your upscaled photo by recovering real detail in your image. This is only possible through training and exposure to millions of test images.
Crisp photos that look like they were never upscaled
It’s hard to believe that the crisp output image above was enlarged 4x, but it was. Gigapixel AI successfully determines which image features are stars (detail) and what’s noise. Then, it naturally accentuates and recovers detail while suppressing noise in your upscaled photo.
The highest-quality image upscaling that you can get anywhere
Because of these exceptional results, Gigapixel AI is used by everyone from leading photographers, to video game modders, to major motion studios. If you ever need to upscale your photo while preserving beautiful detail, take advantage of the most modern technology in the space and give Gigapixel AI a try.
Image enlargement: interpolation vs machine learning
Interpolation-based photo enlargement software has been around for decades. Gigapixel’s new approach based on machine learning is a giant leap ahead: state-of-the-art “deep learning” methods allow it to enlarge images while actually adding new details.
Interpolation
Interpolation algorithms work by approximating new pixels from the colors of surrounding ones. This does not add any detail to the image, it just smoothes out the transition between pixels.
Neural Network (Gigapixel AI)
A neural network analyzes thousands of photo pairs to learn how details usually get lost. The algorithm learns to “fill in” information in new images based on what it has learned… effectively adding new detail to your photo. Screenshots
Free to Try
Windows/macOS
Topaz Gigapixel Ai
25.7 MB
1,960
Gigapixel AI creates beautiful photo enlargements using machine learning. Breathtakingly sharp prints. High-resolution cropping in post-production. iPhone photos that look like they came out of a DSLR.
No matter why you’re enlarging your photos, you always want the best possible quality for your results. Gigapixel AI is currently the only photo enlargement product available that can actually add detail back to your upscaled photo.
Automatic face refinement
Photo Enlargement for Every Reason
Topaz Gigapixel Ai 4 4 3 1557 Key Free Key
Recover real details for actual sharpness
Crisp photos that look like they were never upscaled
The highest-quality photo enlargement that you can get anywhere
A Giant Leap Forward
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What's New:
System Requirements:
Topaz Gigapixel Ai 5.1.1
Hardware Requirements:
GPU/Graphics Card:
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RAM:
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