Photography and the impact of Ai

Photography and the impact of Ai

Sample image of a person whose clothing was changed with Photoshop Ai.
Sample image of a person whose clothing was changed with Photoshop Ai.

 

The person above showed up for the office staff photoshoot in a quarter zip fleece instead of business casual like his counterparts. I photographed him and then back in the studio I used Photoshop AI to change his quarter-zip into a shirt and jacket. Photoshop AI improves week to week. You probably can’t see it in this low-resolution web file, but the only noticeable issue with the generated clothing was the second button is a little oblong compared to the first. The AI even adjusted the shadow on the neck to align with the new neck line of the dress shirt.

Adobe and most all of the other big names in photo post-processing software are rapidly implementing AI into many facets of their products. Making an adjustment to an entire image is referred to as a global adjustment, since it impacts the entire image. If you want to edit only a portion of an image to do a localized or targeted adjustment. Not that long ago, if you wanted to do a targeted adjustment you had to carefully select the area you wished to impact so as to not alter the area around it. This technique early on was only something you could find in Photoshop. Eventually, masking started to make its way into most editing tools with differing degrees of functionality. With the advent of AI being incorporated most programs now have very robust AI masking capability that allow even relative novices to make very nice localized selections which in turn lets them make great adjustments that would have been beyond their skill level 6 months or a year ago.

I would never even attempt to redress a person as shown in the example above. It would be much too time consuming and the client would not want to see the cost. A year ago, we would have had to reschedule the staffer for another day when he would be able to dress appropriately. As AI advances it brings the promise of easier editing and more time for creating, it also brings a concern that it will be increasingly difficult to tell real content from artificially generated imagery.

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