The Remix option in Goggle Photos uses Generative AI to significantly restyle photos. From Wikipedia I learned that Generative AI uses models that have learned underlying patterns in existing text, images, or audio to create new content from user prompts.

In the examples in this post the ‘user prompts’ are my original photos and Google’s Generative AI models that are used are called ‘oil painting’ and ‘watercolor’.

Remixing commonly does a good job of focusing attention on the main features of an image. In example photos below Remixing draws attention to hail in a storm, to a rainbow, and to a bee in a wild rose much more effectively than seen in the original photos. Remixing also makes images more colorful and increases relevant detail.

To me, using these Generative AI capabilities feels a bit like cheating. Professional photographers have the expertise and equipment to create striking images. Now with ‘Remixing’ anyone with an iPhone and minimal talent can create comparable images.

I’d like to see others’ thoughts about these new capabilities. Are they just another new tool and no big deal? Or are they shortcuts that encroach on human skills and expertise?

The rainbow is made much more striking by the Oil-painting remix of the original photo.
A picture of a recent mild hailstorm is much more dramatic in the Oil-painting remix
Oil-painting remix brings out colors in the northern lights.
This photo of mushrooms on a birch tree was transformed by Watercolor remixing. The Watercolor remixing has taken liberties in reframing the original image.
Service berry bush blooming in the forest this spring. The Watercolor remix removes extraneous background trees.
Oil-painting remix clarifies that the chipmunk is eating cherries from our tree.
Wild columbine, original photograph remixed by Oil-painting.
Bee in wild rose, Oil-painting remix adds significant detail to the bee.
Branch of budding tamarack.
Mountains just north of Yellowstone, in Montana

Published by jimr77

Recently retired, loving life in northern Minnesota

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