MLG-Stereo adds multi-granularity feature extraction, local-global cost volumes, and guided recurrent refinement to ViT stereo matching, yielding competitive results on Middlebury, KITTI-2015, and strong results on KITTI-2012.
Cfnet: Cascade and fused cost volume for robust stereo matching
2 Pith papers cite this work. Polarity classification is still indexing.
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