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Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D
  Motion Understanding

Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding

27 June 2018
Zhenheng Yang
Peng Wang
Yang Wang
W. Xu
Ram Nevatia
    3DPC
ArXivPDFHTML

Papers citing "Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding"

21 / 21 papers shown
Title
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
Junyi Zhang
Charles Herrmann
Junhwa Hur
Varun Jampani
Trevor Darrell
Forrester Cole
Deqing Sun
Ming Yang
VGen
83
70
0
04 Oct 2024
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
Xingyu Miao
Yang Bai
Haoran Duan
Yawen Huang
Fan Wan
Xinxing Xu
Yang Long
Yefeng Zheng
MDE
16
16
0
14 Aug 2023
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision
  Transformer
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer
Chaoqiang Zhao
Youming Zhang
Matteo Poggi
Fabio Tosi
Xianda Guo
Zheng Zhu
Guan Huang
Yang Tang
S. Mattoccia
ViT
MDE
29
174
0
06 Aug 2022
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels
Vitor Campagnolo Guizilini
Kuan-Hui Lee
Rares Ambrus
Adrien Gaidon
SSL
3DPC
MDE
33
44
0
28 Mar 2022
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in
  Dynamic Environments
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments
Christian Homeyer
Oliver Lange
Christoph Schnörr
MDE
13
3
0
21 Jan 2022
Depth360: Self-supervised Learning for Monocular Depth Estimation using
  Learnable Camera Distortion Model
Depth360: Self-supervised Learning for Monocular Depth Estimation using Learnable Camera Distortion Model
Noriaki Hirose
Kosuke Tahara
MDE
21
4
0
20 Oct 2021
StructDepth: Leveraging the structural regularities for self-supervised
  indoor depth estimation
StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation
Boying Li
Yuan Huang
Zeyu Liu
Danping Zou
Wenxian Yu
MDE
15
51
0
19 Aug 2021
Self-Supervised Multi-Frame Monocular Scene Flow
Self-Supervised Multi-Frame Monocular Scene Flow
Junhwa Hur
Stefan Roth
MDE
18
48
0
05 May 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
32
47
0
12 Mar 2021
Variational Monocular Depth Estimation for Reliability Prediction
Variational Monocular Depth Estimation for Reliability Prediction
Noriaki Hirose
S. Taguchi
Keisuke Kawano
Satoshi Koide
MDE
26
4
0
24 Nov 2020
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint
  Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation
Yang Jiao
T. Tran
Guangming Shi
29
33
0
16 Nov 2020
DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation
  Using Monocular Camera and Sparse LiDAR
DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR
Rishav Rishav
Ramy Battrawy
René Schuster
Oliver Wasenmüller
D. Stricker
3DPC
16
32
0
18 Aug 2020
$S^3$Net: Semantic-Aware Self-supervised Depth Estimation with Monocular
  Videos and Synthetic Data
S3S^3S3Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
Bin Cheng
Inderjot Singh Saggu
Raunak Shah
G. Bansal
Dinesh Bharadia
MDE
23
25
0
28 Jul 2020
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object
  Problem by Semantic Guidance
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Marvin Klingner
Jan-Aike Termöhlen
Jonas Mikolajczyk
Tim Fingscheidt
MDE
33
317
0
14 Jul 2020
Moving Indoor: Unsupervised Video Depth Learning in Challenging
  Environments
Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments
Junsheng Zhou
Yuwang Wang
K. Qin
Wenjun Zeng
MDE
16
63
0
20 Oct 2019
Unsupervised High-Resolution Depth Learning From Videos With Dual
  Networks
Unsupervised High-Resolution Depth Learning From Videos With Dual Networks
Junsheng Zhou
Yuwang Wang
K. Qin
Wenjun Zeng
MDE
21
71
0
20 Oct 2019
Unsupervised Monocular Depth and Ego-motion Learning with Structure and
  Semantics
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics
Vincent Casser
S. Pirk
R. Mahjourian
A. Angelova
MDE
6
102
0
12 Jun 2019
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge
  Distillation for Unsupervised Monocular Depth Estimation
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation
Andrea Pilzer
Stéphane Lathuilière
N. Sebe
Elisa Ricci
MDE
17
135
0
11 Mar 2019
Unsupervised Learning of Monocular Depth Estimation with Bundle
  Adjustment, Super-Resolution and Clip Loss
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss
Lipu Zhou
Jiamin Ye
Montiel Abello
Shengze Wang
Michael Kaess
MDE
21
27
0
08 Dec 2018
Multi-body Non-rigid Structure-from-Motion
Multi-body Non-rigid Structure-from-Motion
Suryansh Kumar
Yuchao Dai
Hongdong Li
24
46
0
15 Jul 2016
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
X. Wang
David Fouhey
Abhinav Gupta
3DV
SSL
154
353
0
18 Nov 2014
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