AI RESEARCH
Multi-Order Matching Network for Alignment-Free Depth Super-Resolution
arXiv CS.CV
•
ArXi:2511.16361v2 Announce Type: replace Recent guided depth super-resolution methods are premised on the assumption of strictly spatial alignment between depth and RGB, achieving high-quality depth reconstruction. However, in real-world scenarios, the acquisition of strictly aligned RGB-D is hindered by inherent hardware limitations (e.g., physically separate RGB-D sensors) and unavoidable calibration drift induced by mechanical vibrations or temperature variations.