A Research Team from Google, Cornell, and UC Berkeley Presented OmniMotion: A Game-Changing AI Method for Dense and Long-Range Motion Estimation in Videos

Sparse feature tracking or dense optical flow have historically been the two main methodologies used in motion estimating algorithms. Both types of methods have been successful in their particular applications. However, neither representation completely captures the motion of a video: sparse tracking can not describe the motion of all pixels. In contrast, pairwise optical flow […]

The post A Research Team from Google, Cornell, and UC Berkeley Presented OmniMotion: A Game-Changing AI Method for Dense and Long-Range Motion Estimation in …

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