Researchers from Nvidia have revealed an impressive new system that uses a deep-learning neural network to effectively create smooth high-quality slow motion videos from footage shot at a regular, low frame rate.

The researchers say that while existing methods to artificially generate slow motion footage from pre-existing video is somewhat effective, it is limited by how many intermediate frames it needs to generate. So, for example, turning a 30-fps video into a half-speed 60-fps video simply requires one extra frame to be generated in between each recorded frame.

But if one wants to generate a 240-fps video from 30-fps footage, that requires seven new frames in between any two consecutive images, and it is here that existing techniques begin to struggle.