For the AI up-scaling we used the neural-enhance project: https://github.com/alexjc/neural-enhance, which is also a quite interesting read. Below you can compare the results.
When the AI upscaled image is compared with the original, we can see that it is not a perfect reconstruction. The shape of the end of the stem is a bit different, and the white flecks on the smooth red skin is finer and sharper.
The artificial intelligence used in this example was trained on a lot of common images. Improvements could possible be obtained if it was retrained on specific types of images, in our case product images. The neural enhance page show some examples of recreations of faces using AI trained on pictures of faces, which are quite impressive! But for a very quick test our results are also quite good.
This is a simple, unscarry example where you can see how AI can improve results for graphic designers. Please let me know if you find this post useful and leave a comment.