AI RESEARCH
Interactive State Space Model with Cross-Modal Local Scanning for Depth Super-Resolution
arXiv CS.CV
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ArXi:2605.11934v1 Announce Type: new Guided depth super-resolution (GDSR) reconstructs HR depth maps from LR inputs with HR RGB guidance. Existing methods either model each modality independently or rely on computationally expensive attention mechanisms with quadratic complexity, hindering the establishment of efficient and semantically interactive joint representations. In this paper, we observe that feature maps from different modalities exhibit semantic-level correlations during feature extraction.