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Potato Head” restoration of a distant face where there wasn’t enough detail to enhance the real features. A few years ago I did a blog post where I showed examples of GAI facial enhancement using actual data and, at the end, an example of the “Mr. GAI early on seemed to use a database of face parts that I called “Mr. Nice try, but in this case, MyHeritage seemed to reconstruct the facial data from other sources, and not well. I brought this up to the Topaz developers a few years ago.Ī couple of examples from MyHeritage, the first involving my great-great grandfather, sourced from a scan of the 5x7 original (he was part of a distant group shot):įrom the same original photo, his son, my great-grandfather: That seems to be on par with the Photo Enhancer examples. The previous best facial reconstruction technology I tried came from MyHeritage and whatever technology they licensed.

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I can try one other PC and see if I have better luck. At any rate, the difficulty getting it working properly speaks to some quality control issue and makes it feel “cheap”. I hesitate to use their included examples as I don’t know whether they intentionally blurred the “before” and use the actual image for the “after”.

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The requirements.txt file can be used to install the necessary packages.” Check the text file: ‘This page does not exist yet.’ OK…” “The average consumer is not going to mess with ESRGAN! “esrgan requires python >= 3.8.

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I also can’t see the two before-and-after panels you show (I see a single panel) or export the result to view separately when using the trial version. 'On the PC, I still don’t know how good the app is because it refuses to generate a preview (“0%” flickers when I hit the Preview button but nothing happens).

So I had to fire up a PC and start again.

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'First of all, HitPaw’s app doesn’t work under VM (Windows on a Mac) which you find out after you install and try to run it, and as you said there is no Mac version. 'I figured I’d give this a try as I’m very happy with Gigapixel and use it to salvage either my older digital images and film scans and to upscale smaller AI app-generated art. Lhkjacky, thanks for splitting off this discussion! First I’ll repeat my report about Photo Enhancer from the other thread and continue from there:

something I could not even do this well with Topaz Sharpen AI. So I was really pleased how it was able to “un blur” it. Here is an old painting that I could never find sharp photograph on, anywhere online. But Topaz should include it in their products. I sometimes use it as reference for paintings.Īnyway, why does Topaz not do the same if the AI model is available for training, I don’t know. It also does magic with enlarging small reference photos from the internet and screenshots of all movies. So I tend to use it for faces and either Model A for everything and Model C for faces to create overall better images. It might be something one can do with these AI models you mentioned, but usually it requires some skills to set it up, and HitPaw AI uses simple to use interface and also works in batches. I find it to work really well with tiny faces and with combination of Photoshop compositing it can take old photos or blurry photos or small faces from smartphone and reconstruct them in ways I cannot do with other software. Although I find myself using HitPaw Photo Enhancer AI More often than I expected, actually more often than Topaz now.

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I will update this post later if I find out more. But in extreme case, such as a large group of kids running around with motion blur in a small photo, where the faces are barely recognizable, the restoration may create monster face. When the person is looking strange to the camera, it usually restore the face detail nicely.

I suspect the face is upscale with GFPGAN, while the background is upscale with Real-ESRGAN ? The Face Model generally give excellent result on tiny face. (There will be Mac version but ETA unknown.) No auto Preview, you have click the Preview button every time and it will process the whole picture.Īt the moment, only Windows version.

(For JPG, It always output at 100% quality). No way to select export image format or compression. Using the General Model, the background upscale nicely but the face will be distorted. Using Face Model, enhance the face nicely but the background detail will be all removed. It will be challenging if a photo contain both person & landscape. There are 3 AI models available, but there is no way to adjust the level of noise reduction or sharpness. There is no way to input scale factor or dimension. After some testing, I would like to summarize what I have found.