Gigapixel Video Enhance Ai

[Onfroi Baird]

Withthe new upscaling feature of Photoshop/Bridge Enhance image you can double the size of the original image while still maintaining image quality and details. I tried this feature on a bunch of different images and compared it with Topaz Gigapixel Ai which I already owned and used a lot in the past. I can right away say that the results are pretty close, but there is a clear winner here.

Topaz Gigapixel Ai I have been using for a while now and I was always amazed with the results it produced, so if course I was very curious if the Photoshop Enhance feature would also give similar results.

One of the things I never liked with Gigapixel was its speed and intensive use of my computer power. I do most of my work on a laptop so upscaling could sometimes take up a couple of minutes raising the heat of the computer making the fans kick off.

Photoshop Enhance after my first try was blazing fast in comparison with Gigapixel, so on speed Photoshop scores point in this area straight away.

The Photoshop Enhance upscaler can only be used once (but saving it as a new file and repeating the enhance feature will work but this will not give the best results) so you are able to double the size. The Gigapixel Ai upscaler can go way bigger. Of course upscaling too far will not result in great quality but Gigapixel times 4 upscaling compared to enhancing twice did give noticeably better results.

A community member suggested that I would get better results from image enhancement software if I used dual-fisheye images. As the RICOH THETA Stitcher was just released as a standalone stitcher, I thought it was a good time to retest Gigapixel AI and see if I could stitch an enhanced dual-fisheye image.

Gigapixel AI image enhancement shows great promise. However, it is tricky to eliminate the lighting artifacts in my test image. Likely, this can be improved with practice. The original DNG is here . Please post your results if you can get a better image.

To avoid artifacts, generally speaking, you can try different models, or tone down the sharpening in the App. If the image had artifacts already, they are likely to intensify in the App, so if you eliminate artifacts beforehand, this would help as well.

With regards to your response from Topaz Labs, the settings I used yesterday in Gigapixel for the first exposure balanced and enlarged version of your image had sharpening at 0. This was to avoid creating artifacts from the noise generated by bringing up the shadows to balance the image.

Batching in Aurora is for blocks of photos with similar lighting. Usually 3 categories: outside, inside near windows, inside no windows. I have created custom starting presets for each but I pick 1 photo (9 bracket) from each category to tweak the preset before batching the block.

Most photo editing tools can enlarge an image using a high-quality method, such as BiCubic. None come close to what Topaz Gigapixel AI can achieve. When I first tested it, it amazed me. The quality results it gave were incredible.

Prior to using these tools, I would not consider trying to make large prints of my old images. Standard enlargement methods, such as bicubic, are too limited to produce an acceptable image. True, an image taken on a modern, high resolution camera will be better still. But the same techniques I use here work on these images too, so you can produce ever larger prints or crop more aggressively and still get an excellent result.

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But when I read some questions in the community, seems like people are uploading files well over this limit. Sometimes I reduce the image quality to meet the maximum of 8 megapixels when export in the Lightroom.

My question is can I upload upto 100 megapixels and 45 MB file size if there are no artifact in the ai generated image. Actually don't want to go file size that big. At least can I upload lightroom enhanced image around 12 megapixels?

Upscaling from low-res to high-res can introduce artifacts and other unwanted side-effects. Aggressive upscaling can make matters worse. Whenever possible, start with a high quality image that contains at least 4 million pixels (height x width).

It appears you are referencing Lightroom's Enhance tool and ONLY Lightroom's Enhance tool as opposed to various available AI upscalers. I could be wrong, but I don't believe the Enhance tool in Lightroom is using AI to enlarge images, but is more likely based on Photoshop's Preserve Details 2.0. So it may be recommending that you limit upscales to a maximum of 8MP due to inherent shortcomings compared to AI upscalers. If you can beyond that without introducing artifacts (which is doubtful but I suppose possbile), then sure, you can probably submit 12MP assets.

I doubt that any upscaler uses AI for upscaling. My guess is that they use sophisticated algorithms that may have been developed using AI as a helper. We used such tools to optimize processes, called the resulting tool xyAI and went to market. It's marketing. 20 years ago we would have called it fuzzy logic.

Agreed. When Gigapixel AI updates, it installs new "reference models." That is, it doesn't scour the internet but uses internal reference models to assist with the upscaling. So it's...semi-AI? In any case, it seems to work...most of the time. For example, Gigapixel AI has a tendency to oversharpen, especially irises and strands of hair. Fortunately, Gigapixel AI creates a new layer of the sharpened image while leaving the original (and of course softer image) untouched. So masking out the hair and irises is often required. I also keep an entire library of AI-created irises that needed little if any editing and use them as needed when the eyes aren't perfect after upscaling. Blue eyes, brown eyes, green eyes...the whole gamut.

IMO, Gigapxel AI is the best image upscaler for AI. Whether you use Gigapixel or Lightroom is up to you. But don't go too heavy with upscaling. Afterwards, carefully inspect every quadrant at 100-300% magnification. Correct all defects if you can.

You need to know that any recommendations (!) are done for the time when they have been issued. You have a fast evolving technology. If you think your assets are good enough at a higher resolution, go for it. But if they aren't, do not submit, it is not an advantage to get assets accepted, when they do not meet the requirements. The first buyer will complain, a lot of comlaints will get your account closed.

I doubt that you can produce a generative AI at 100Mp, that does not expose artefacts introduced by upscaling. But if you can generate high resolution assets, you should even nit need to upscale to meet the minimum resolution of 4Mp.

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