NVIDIA trained a deep learning framework to take videos filmed at 30 fps and turn them into slow motion videos at the equivalent of 240 or even 480 fps. Even though the system is guessing on the content in the extra frames, the final results look amazingly sharp and lifelike.
“There are many memorable moments in your life that you might want to record with a camera in slow-motion because they are hard to see clearly with your eyes: the first time a baby walks, a difficult skateboard trick, a dog catching a ball,” the researchers wrote in the research paper. “While it is possible to take 240-frame-per-second videos with a cell phone, recording everything at high frame rates is impractical, as it requires large memories and is power-intensive for mobile devices,” the team explained.
With this new research, users can slow down their recordings after taking them.
Using this technique and what Peter Jackson’s team is doing with WWI footage, it would be interesting to clean up and slow down all sorts of archival footage (like the Zapruder film, just to choose one obvious example).
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