Rethinking Monocular Depth Estimation with Adversarial Training

22 August 2018

Papers citing "Rethinking Monocular Depth Estimation with Adversarial Training"

8 / 8 papers shown

Title
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues Frank D. Julca-Aguilar Jason Taylor Mario Bijelic Fahim Mannan Ethan Tseng Felix Heide 3DPC 52 16 0 06 Feb 2021
On the Benefit of Adversarial Training for Monocular Depth Estimation R. Groenendijk Sezer Karaoglu Theo Gevers Thomas Mensink GAN MDE 12 29 0 29 Oct 2019
Exploiting temporal consistency for real-time video depth estimation Haokui Zhang Chunhua Shen Ying Li Yuanzhouhan Cao Yu Liu Youliang Yan MDE 22 110 0 10 Aug 2019
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios Tobias Gruber Mario Bijelic Felix Heide W. Ritter Klaus C. J. Dietmayer MDE 3DV 41 29 0 21 Jun 2019
GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images Mason T. Chen Faisal Mahmood Jordan A. Sweer Nicholas J. Durr 23 32 0 12 Jun 2019
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 200 1,708 0 06 Jun 2018
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 250 3,190 0 30 Oct 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014