From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction

From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction

15 March 2022

Evin Pınar Örnek

Nassir Navab

Papers citing "From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction"

7 / 7 papers shown

Title
The Second Monocular Depth Estimation Challenge Jaime Spencer Chao Qian Michaela Trescakova Chris Russell Simon Hadfield ... Guangkai Xu Wei Yin Jun Yu Qi Zhang Chaoqiang Zhao MDE 27 11 0 14 Apr 2023
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter Jaime Spencer Martin Chris Russell Simon Hadfield Richard Bowden MDE 29 22 0 02 Aug 2022
Variational Relational Point Completion Network Liang Pan Xinyi Chen Zhongang Cai Junzhe Zhang Haiyu Zhao Shuai Yi Ziwei Liu 3DPC 195 176 0 20 Apr 2021
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets Tian Chen S. An Yuan Zhang Chongyang Ma Huayan Wang Xiaoyan Guo Wen Zheng MDE 33 31 0 22 Jul 2020
3D Ken Burns Effect from a Single Image Simon Niklaus Long Mai Jimei Yang Feng Liu VGen 192 206 0 12 Sep 2019
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 185 1,707 0 06 Jun 2018
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 113 875 0 03 Feb 2017