GREATEN fuses surface normals into stereo matching with gated contextual-geometric fusion and sparse attention, cutting Syn-to-Real errors by up to 30% when trained only on synthetic data.
Uncertainty guided adaptive warping for robust and efficient stereo matching
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Geometry Reinforced Efficient Attention Tuning Equipped with Normals for Robust Stereo Matching
GREATEN fuses surface normals into stereo matching with gated contextual-geometric fusion and sparse attention, cutting Syn-to-Real errors by up to 30% when trained only on synthetic data.