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2. Free AI tool restores old photos by creating slightly new ...

   www.engadget.com/free-ai-old-photo-restoration...

   Conventional methods fine-tune an existing AI model to restore images by gauging differences between the artificial and real photos. That frequently leads to low-quality results, the scientists said.

3. Remini tops the App Store for its viral 'AI headshots' but ...

   techcrunch.com/2023/07/20/remini-tops-the-app...

   The app can also be used to restore old photos by adding detail, enhance face quality, improve the colors and tones of photos, enhance the background, and more. On the App Store, Remini also ...

4. MyHeritage debuts Reimagine, an AI app for scanning, fixing ...

   techcrunch.com/2023/05/30/myheritage-debuts-re...

   The photo enhancement tools — including restoring faded colors, repairing scratches, and enhancing resolution — are leveraging technology MyHeritage exclusively licensed from DeOldify, a ...

5. Going from fact to fiction with Picsart's AI image enhancer

   techcrunch.com/2022/06/08/zoom-and-enhance-kinda...

   Zoom and Enhance (kinda) go from fiction to fact with Picsart’s AI image enhancer. Haje Jan Kamps. 6:02 AM PDT • June 8, 2022. Comment. Image Credits: Haje Kamps. “ Can you enhance that ...

6. Image restoration by artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Image_restoration_by...

   Digital photograph restoration and colorization using artificial intelligence. Image restoration is the operation of taking a corrupt/noisy image and estimating the clean, original image. Corruption may come in many forms such as motion blur, noise and camera mis-focus. [1] Image restoration is performed by reversing the process that blurred ...

7. Let's Enhance - Wikipedia

   en.wikipedia.org/wiki/Let's_Enhance

   Let's Enhance. Let's Enhance [1] is a Ukrainian start-up [2] which develops an online service driven by artificial intelligence which allows improving images and zooming them without losing quality. [3] According to the developers, [4] they used the super-resolution technology of machine learning. The neural network, trained on a large base of ...