Splatting-based Synthesis for Video Frame Interpolation

Splatting-based Synthesis for Video Frame Interpolation
Simon Niklaus, Ping Hu, and Jiawen Chen
IEEE Winter Conference on Applications of Computer Vision

Frame interpolation is an essential video processing technique that adjusts the temporal resolution of an image sequence. An effective approach to perform frame interpolation is based on splatting, also known as forward warping. Specifically, splatting can be used to warp the input images to an arbitrary temporal location based on an optical flow estimate. A synthesis network, also sometimes referred to as refinement network, can then be used to generate the output frame from the warped images. In doing so, it is common to not only warp the images but also various feature representations which provide rich contextual cues to the synthesis network.

However, while this approach has been shown to work well and enables arbitrary-time interpolation due to using splatting, the involved synthesis network is prohibitively slow. In contrast, we propose to solely rely on splatting to synthesize the output without any subsequent refinement. This splatting-based synthesis is much faster than similar approaches, especially for multi-frame interpolation, while enabling new state-of-the-art results at high resolutions.

No paper is perfect and it is important to be upfront about issues once they become apparent. As such, I like to take the opportunity to mention some for this paper below.

  • The paragraph below Equation 1 should say "M^merge" instead of "M^splat".

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