3 papers
cs.CV2026
Towards Robust Driving Perception: A Flexible Scale-Driven Family for Self-Supervised Monocular Depth Estimation
Zhaowen Zhu, Li Zhang, Yujie Chen +3
Self-Supervised Monocular Depth Estimation (MDE) has garnered attention in recent years due to its independence from ground truth. However, most existing models are limited to a si…
cs.CV2026
Language as Prior, Vision as Calibration: Metric Scale Recovery for Monocular Depth Estimation
Mingxia Zhan, Li Zhang, Beibei Wang +2
Relative-depth foundation models transfer well, yet monocular metric depth remains ill-posed due to unidentifiable global scale and heightened domain-shift sensitivity. Under a fro…
cs.CV2025
VistaDepth: Improving far-range Depth Estimation with Spectral Modulation and Adaptive Reweighting
Mingxia Zhan, Li Zhang, Yingjie Wang +3
Monocular depth estimation (MDE) aims to infer per-pixel depth from a single RGB image. While diffusion models have advanced MDE with impressive generalization, they often exhibit…