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cs.CV2024
Self-Distilled Depth Refinement with Noisy Poisson Fusion
Jiaqi Li, Yiran Wang, Jinghong Zheng +4
Depth refinement aims to infer high-resolution depth with fine-grained edges and details, refining low-resolution results of depth estimation models. The prevailing methods adopt t…
cs.CV2024
Towards Robust Monocular Depth Estimation in Non-Lambertian Surfaces
Junrui Zhang, Jiaqi Li, Yachuan Huang +4
In the field of monocular depth estimation (MDE), many models with excellent zero-shot performance in general scenes emerge recently. However, these methods often fail in predictin…