#monocular depth estimation
4 resultsMono-Stixels: Monocular depth reconstruction of dynamic street scenes
Fabian Brickwedde, Steffen Abraham, Rudolf Mester
The paper proposes mono-stixels, a compact representation that estimates depth, motion, and semantic information from a monocular video of dynamic street scenes using optical flow,…
Semi-Supervised Adversarial Monocular Depth Estimation
Rongrong Ji, Ke Li, Yan Wang +6
The paper introduces a semi‑supervised adversarial framework that uses a small set of labeled image‑depth pairs together with many unlabeled monocular images to improve monocular d…
Adversarial View-Consistent Learning for Monocular Depth Estimation
Yixuan Liu, Yuwang Wang, Shengjin Wang
The paper introduces an adversarial view-consistent learning framework that uses differentiable depth map warping and a pose generator to enforce consistency of monocular depth pre…
Enforcing geometric constraints of virtual normal for depth prediction
Wei Yin, Yifan Liu, Chunhua Shen +1
The paper proposes a loss that enforces virtual normal constraints—directions defined by three random points in the reconstructed 3D space—to improve monocular depth prediction, re…