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Forget About the LiDAR: Self-Supervised Depth Estimators with MED
  Probability Volumes

Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes

9 August 2020
Juan Luis Gonzalez
Munchurl Kim
ArXivPDFHTML

Papers citing "Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes"

16 / 16 papers shown
Title
Boosting Self-Supervision for Single-View Scene Completion via Knowledge
  Distillation
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation
Keonhee Han
Dominik Muhle
Felix Wimbauer
Daniel Cremers
35
2
0
11 Apr 2024
Novel View Synthesis with View-Dependent Effects from a Single Image
Novel View Synthesis with View-Dependent Effects from a Single Image
J. P. Bello
Munchurl Kim
22
2
0
13 Dec 2023
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for
  Indoor Scenes
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
23
14
0
26 Sep 2023
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth
  Estimation
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation
Youhong Wang
Yunji Liang
Hao Xu
Shaohui Jiao
Hongkai Yu
MDE
25
33
0
01 Sep 2023
Behind the Scenes: Density Fields for Single View Reconstruction
Behind the Scenes: Density Fields for Single View Reconstruction
Felix Wimbauer
Nan Yang
Christian Rupprecht
Daniel Cremers
MDE
36
50
0
18 Jan 2023
SimpleRecon: 3D Reconstruction Without 3D Convolutions
SimpleRecon: 3D Reconstruction Without 3D Convolutions
Mohamed Sayed
J. Gibson
Jamie Watson
V. Prisacariu
Michael Firman
Clément Godard
3DV
25
87
0
31 Aug 2022
Deconstructing Self-Supervised Monocular Reconstruction: The Design
  Decisions that Matter
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
Jaime Spencer Martin
Chris Russell
Simon Hadfield
Richard Bowden
MDE
32
22
0
02 Aug 2022
Learning Occlusion-Aware Coarse-to-Fine Depth Map for Self-supervised
  Monocular Depth Estimation
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
Learning Generalized Visual Odometry Using Position-Aware Optical Flow
  and Geometric Bundle Adjustment
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment
Yijun Cao
Xian-Shi Zhang
Fuya Luo
Peng Peng
Yongjie Li
22
10
0
22 Nov 2021
Lightweight Monocular Depth with a Novel Neural Architecture Search
  Method
Lightweight Monocular Depth with a Novel Neural Architecture Search Method
Lam Huynh
Phong H. Nguyen
Jirí Matas
Esa Rahtu
J. Heikkilä
29
10
0
25 Aug 2021
Monocular Depth Estimation Primed by Salient Point Detection and
  Normalized Hessian Loss
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss
Lam Huynh
Matteo Pedone
Phong H. Nguyen
Jirí Matas
Esa Rahtu
J. Heikkilä
MDE
3DPC
18
3
0
25 Aug 2021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
Jamie Watson
Oisin Mac Aodha
V. Prisacariu
Gabriel J. Brostow
Michael Firman
MDE
31
264
0
29 Apr 2021
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View
  Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
J. P. Bello
Munchurl Kim
3DV
MDE
35
47
0
12 Mar 2021
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and
  Benchmark under Multiple Environments
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments
Hanjiang Hu
B. Yang
Zhijian Qiao
Shiqi Liu
Weiang Shi
Zuxin Liu
Wenhao Ding
Ding Zhao
Hesheng Wang
VLM
MDE
27
14
0
09 Nov 2020
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
191
1,707
0
06 Jun 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
195
5,175
0
16 Sep 2016
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