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This work instantiates VDN on MiniMax H3, which combines local Softmax attention with bidirectional linear memory for long-range video context and introduces Video Delta Attention (VDA), which updates memory once per frame by jointly incorporating its spatial tokens.
Unlock 36% better video depth estimation and 20% better camera pose estimation by simply letting your model learn from its own unlabeled video predictions.
