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#monocular depth estimation

4 results
cs.CV2019

Mono-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,…

#monocular depth estimation#stixels#optical flow#semantic segmentation
cs.CV2019

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…

#monocular depth estimation#semi-supervised learning#adversarial training#depth prediction
cs.CV2019

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…

#monocular depth estimation#view consistency#adversarial learning#depth map warping
cs.CV2019

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…

#monocular depth estimation#geometric constraints#virtual normals#3d reconstruction