Quick Tip: Using Machine Learning on portrait-oriented still images to fill a 16:9 frame
Machine Learning tools can do some amazing things. They can even fit a vertical image into a wider 16:9 hole. I’m not talking about increasing the image’s resolution so the image tolerates a 200% or 300% scaling operation.
I’m talking about extending the rest of the vertical image to fill in the horizontal empty space with new unseen image detail!
Think: Hand-painted set extensions (like a matte painting artist) but with a computer creating the set extensions with a few clicks of a button.
In this Mixing Light Short, we explore using Machine Learning (ML) to solve a common editorial aesthetic problem, fitting vertical 9:16 images in a 16:9 horizontal frame. We’ll do this in just a few clicks using Runway’s Infinite Image machine learning tool – a tool that extends your image based on its visual content.
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