RAFT-MSF++ recurrently fuses Geometry-Motion Features across frames with positional attention and occlusion regularization to improve self-supervised monocular scene flow estimation.
Df-net: Unsupervised joint learning of depth and flow using cross-task consistency,
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RAFT-MSF++: Temporal Geometry-Motion Feature Fusion for Self-Supervised Monocular Scene Flow
RAFT-MSF++ recurrently fuses Geometry-Motion Features across frames with positional attention and occlusion regularization to improve self-supervised monocular scene flow estimation.