![]() Without meeting these requirements, you might not see the desired results or it may take a very long time. But if you are using a Windows PC, you have to ensure that your PC has a powerful GPU (Nvidia GTX 740 or above) with 2 GB of VRAM, a decent main processor (Intel Core i3 with 3 GHz clock frequency), and lots of RAM (16 GB DDR4). In the case of the newer Macs (last five years), the hardware is definitely unquestionably very powerful. It is available for both Windows and macOS. Since Gigapixel AI runs on the local machine, your computer has to be really powerful. Consequently the downloaded installer for the Gigapixel AI is nearly 1.6 GB in size. While AI Image Enlarger and AKVIS Magnifier both carry out all the AI related tasks on the remote server, Gigapixel AI is entirely offline. The main difference between other similar software and Gigapixel AI is that the latter is entirely offline. Gigapixel AI also uses machine learning and deep learning to get better photo quality for enhancing the details found in the original photo. And now there is another similar app that has caught our attention – Gigapixel AI from Topaz labs. Earlier we wrote about AI Image Enlarger app which is able to use machine learning to upscale your low-res images. It also fixes problems that many photographers will be working quite hard to avoid in the first place.Artificial Intelligence based image editors and enhancers have become really advanced in the past few years. ![]() When it doesn’t, it’s a bit disappointing, especially in view of the cost and the time it takes. ![]() When it works, Topaz Photo AI is very good. Topaz Photo AI is expensive and quite slow to use, and while it can fix some photo problems remarkably well, they have to fall into what I’ll call its ‘fixability window’, and you have to have enough of these problem photos in the first place to make it worth the cost. With phone images I found it tended to upscale the phone processing artefacts rather than finding or adding new detail. The upscaling works really well on images with good intrinsic detail and not too much processing – such as those from a DSLR or mirrorless camera. The Upscale and Enhance Resolution tools will often be used together. There is a ‘processed’ look about the results, but it’s still an effective tool for rescuing or enhancing unrepeatable people shots. It works surprisingly well on people who are just out of focus or not quite sharp. The Recover Faces tool kicks in when the software recognizes faces in the frame and thinks they need fixing. Shots that were just slightly soft underwent a pretty dramatic transformation, and shots with poor focusing had variable outcomes – often with obviously processed edge detail and ‘filling in’ of the sort you see with over-processed phone images. I found that shots on the wrong side of its ‘fixability’ threshold were made worse – including any kind of double-image blur from camera shake. The Sharpen process can be spectacular or bad, depending on the image. I wouldn’t put this in the same league as DxO’s DeepPRIME XD processing. I found myself pushing the Detail slider up to maximum and the Strength slider down to zero to get results that looked smooth and crisp. The noise removal is very effective but quite aggressive by default. The results vary, depending on the quality of the image you’re starting from and its particular issues. The recovered detail in the rocks and the leaves, top right, is pretty remarkable. This is the most spectacular outcome, though the Autopilot didn't think this needed sharpening it all, so it was done manually.
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