U²Flow jointly estimates optical flow and uncertainty in an unsupervised recurrent setup by deriving uncertainty from augmentation consistency via Laplace maximum likelihood, then using it to refine flow and modulate smoothness.
Learning to estimate hidden motions with global motion aggregation
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U$^{2}$Flow: Uncertainty-Aware Unsupervised Optical Flow Estimation
U²Flow jointly estimates optical flow and uncertainty in an unsupervised recurrent setup by deriving uncertainty from augmentation consistency via Laplace maximum likelihood, then using it to refine flow and modulate smoothness.