2 papers
cs.CV2025
Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors
Weilong Yan, Ming Li, Haipeng Li +2
Self-supervised depth estimation from monocular cameras in diverse outdoor conditions, such as daytime, rain, and nighttime, is challenging due to the difficulty of learning univer…
cs.CV2024
Digging into contrastive learning for robust depth estimation with diffusion models
Jiyuan Wang, Chunyu Lin, Lang Nie +3
Recently, diffusion-based depth estimation methods have drawn widespread attention due to their elegant denoising patterns and promising performance. However, they are typically un…