OmniMotion allows for better video motion estimation
ITHACA, N.Y. -- Cornell researchers have developed a new optimization tool to estimate motion throughout an input video, which has potential applications in video editing and generative AI video creation.
The tool, called OmniMotion, is described in a paper, “Tracking Everything, Everywhere, All at Once,” presented at the International Conference on Computer Vision, Oct. 2-6 in Paris.
“There are these two dominant paradigms in motion estimation – optical flow, which is dense but short range, and feature tracking, which is sparse but long range,” said Noah ...











