most citedHybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors

3 citations · 3 across the 2 of their papers we have counts for

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cs.CV2024★ 3 cited

HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors

Ashkan Ganj, Hang Su, Tian Guo

We propose HYBRIDDEPTH, a robust depth estimation pipeline that addresses key challenges in depth estimation,including scale ambiguity, hardware heterogeneity, and generalizability…

cs.CV2023

Mobile AR Depth Estimation: Challenges & Prospects -- Extended Version

Ashkan Ganj, Yiqin Zhao, Hang Su +1

Metric depth estimation plays an important role in mobile augmented reality (AR). With accurate metric depth, we can achieve more realistic user interactions such as object placeme…