March 14, 2024, 4:46 a.m. | Yihao Liu, Feng Xue, Anlong Ming

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arXiv:2403.08556v1 Announce Type: new
Abstract: The generalization of monocular metric depth estimation (MMDE) has been a longstanding challenge. Recent methods made progress by combining relative and metric depth or aligning input image focal length. However, they are still beset by challenges in camera, scene, and data levels: (1) Sensitivity to different cameras; (2) Inconsistent accuracy across scenes; (3) Reliance on massive training data. This paper proposes SM4Depth, a seamless MMDE method, to address all the issues above within a single …

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