PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss

12 March 2021

Papers citing "PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss"

8 / 8 papers shown

Title
Novel View Synthesis with View-Dependent Effects from a Single Image J. P. Bello Munchurl Kim 17 2 0 13 Dec 2023
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes Chaoqiang Zhao Matteo Poggi Fabio Tosi Lei Zhou Qiyu Sun Yang Tang S. Mattoccia MDE 18 14 0 26 Sep 2023
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation Youhong Wang Yunji Liang Hao Xu Shaohui Jiao Hongkai Yu MDE 20 33 0 01 Sep 2023
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 25 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 19 22 0 02 Aug 2022
Learning Occlusion-Aware Coarse-to-Fine Depth Map for Self-supervised Monocular Depth Estimation Zhengming Zhou Qiulei Dong MDE 7 16 0 21 Mar 2022
How Much Position Information Do Convolutional Neural Networks Encode? Md. Amirul Islam Sen Jia Neil D. B. Bruce SSL 197 344 0 22 Jan 2020
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 180 1,707 0 06 Jun 2018