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Physics-Informed Computer Vision: A Review and Perspectives

Physics-Informed Computer Vision: A Review and Perspectives

29 May 2023
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "Physics-Informed Computer Vision: A Review and Perspectives"

50 / 82 papers shown
Title
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
D. Wolf
Alexander Braun
Markus Ulrich
250
0
0
18 Dec 2024
Inferring Hybrid Neural Fluid Fields from Videos
Inferring Hybrid Neural Fluid Fields from Videos
Hong-Xing Yu
Yang Zheng
Yuan Gao
Yitong Deng
Bo Zhu
Jiajun Wu
3DH
51
15
0
11 Dec 2023
Learning Vortex Dynamics for Fluid Inference and Prediction
Learning Vortex Dynamics for Fluid Inference and Prediction
Yitong Deng
Hong-Xing Yu
Jiajun Wu
Bo Zhu
MDE
72
20
0
27 Jan 2023
Spatio-Temporal Super-Resolution of Dynamical Systems using
  Physics-Informed Deep-Learning
Spatio-Temporal Super-Resolution of Dynamical Systems using Physics-Informed Deep-Learning
Rajat Arora
Ankit Shrivastava
AI4CE
76
4
0
08 Dec 2022
Physics-informed neural networks for gravity currents reconstruction
  from limited data
Physics-informed neural networks for gravity currents reconstruction from limited data
Mickaël G. Delcey
Y. Cheny
S. Richter
PINN
AI4CE
63
11
0
03 Nov 2022
Physics-Informed CNNs for Super-Resolution of Sparse Observations on
  Dynamical Systems
Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems
Daniel Kelshaw
Georgios Rigas
Luca Magri
AI4CE
48
17
0
31 Oct 2022
Physics-informed Deep Super-resolution for Spatiotemporal Data
Physics-informed Deep Super-resolution for Spatiotemporal Data
Pu Ren
Chengping Rao
Yang Liu
Zihan Ma
Qi Wang
Jianxin Wang
Hao Sun
90
13
0
02 Aug 2022
Untrained, physics-informed neural networks for structured illumination
  microscopy
Untrained, physics-informed neural networks for structured illumination microscopy
Zach Burns
Zhaowei Liu
AI4CE
37
11
0
15 Jul 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level
  Physically-Grounded Augmentations
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations
Tianlong Chen
Peihao Wang
Zhiwen Fan
Zhangyang Wang
70
55
0
04 Jul 2022
Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data
Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data
Mengyu Chu
Lingjie Liu
Q. Zheng
Erik Franz
Hans-Peter Seidel
Christian Theobalt
Rhaleb Zayer
AI4CE
63
56
0
14 Jun 2022
Trajectory Optimization for Physics-Based Reconstruction of 3d Human
  Pose from Monocular Video
Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video
Erik Gartner
Mykhaylo Andriluka
Hongyi Xu
C. Sminchisescu
3DH
68
40
0
24 May 2022
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction
Erik Gartner
Mykhaylo Andriluka
Erwin Coumans
C. Sminchisescu
3DH
83
41
0
24 May 2022
Physics-Informed Bayesian Learning of Electrohydrodynamic Polymer Jet
  Printing Dynamics
Physics-Informed Bayesian Learning of Electrohydrodynamic Polymer Jet Printing Dynamics
Athanasios Oikonomou
T. Loutas
Dixia Fan
Alysia Garmulewicz
G. Nounesis
S. Chaudhuri
F. Tourlomousis
10
9
0
16 Apr 2022
Dancing under the stars: video denoising in starlight
Dancing under the stars: video denoising in starlight
Kristina Monakhova
Stephan R. Richter
Laura Waller
V. Koltun
VGen
81
51
0
08 Apr 2022
A Machine Learning and Computer Vision Approach to Geomagnetic Storm
  Forecasting
A Machine Learning and Computer Vision Approach to Geomagnetic Storm Forecasting
Kyle Domico
Ryan Sheatsley
Yohan Beugin
Quinn K. Burke
Patrick McDaniel
26
5
0
04 Apr 2022
Neural MoCon: Neural Motion Control for Physically Plausible Human
  Motion Capture
Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture
Buzhen Huang
Liang Pan
Yuan Yang
Jingyi Ju
Yangang Wang
3DH
49
32
0
26 Mar 2022
Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance
Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance
Qinqin Yang
Zi Wang
Kunyuan Guo
C. Cai
X. Qu
PINN
OOD
MedIm
AI4CE
61
60
0
21 Mar 2022
Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion
  Tracking from Sparse Inertial Sensors
Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors
Xinyu Yi
Yuxiao Zhou
Marc Habermann
Soshi Shimada
Vladislav Golyanik
Christian Theobalt
F. Xu
72
169
0
16 Mar 2022
Self-supervised Transparent Liquid Segmentation for Robotic Pouring
Self-supervised Transparent Liquid Segmentation for Robotic Pouring
G. Narasimhan
Kai Zhang
Ben Eisner
Xingyu Lin
David Held
66
17
0
03 Mar 2022
Predicting the temporal dynamics of turbulent channels through deep
  learning
Predicting the temporal dynamics of turbulent channels through deep learning
Giuseppe Borrelli
L. Guastoni
Hamidreza Eivazi
P. Schlatter
Ricardo Vinuesa
AI4TS
60
18
0
02 Mar 2022
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions
Wenyu Liu
Gaofeng Ren
Runsheng Yu
Shi Guo
Jianke Zhu
Lei Zhang
57
366
0
15 Dec 2021
Acquisition-invariant brain MRI segmentation with informative
  uncertainties
Acquisition-invariant brain MRI segmentation with informative uncertainties
Pedro Borges
Richard Shaw
Thomas Varsavsky
Kerstin Kläser
David Thomas
I. Drobnjak
Sebastien Ourselin
M. Jorge Cardoso
OOD
62
4
0
07 Nov 2021
Physics-informed Convolutional Neural Networks for Temperature Field
  Prediction of Heat Source Layout without Labeled Data
Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data
Xiaoyu Zhao
Zhiqiang Gong
Yunyang Zhang
Wen Yao
Xiaoqian Chen
OOD
AI4CE
117
94
0
26 Sep 2021
Physics-based Human Motion Estimation and Synthesis from Videos
Physics-based Human Motion Estimation and Synthesis from Videos
Kevin Xie
Tingwu Wang
Umar Iqbal
Yunrong Guo
Sanja Fidler
Florian Shkurti
3DH
71
83
0
21 Sep 2021
Estimating permeability of 3D micro-CT images by physics-informed CNNs
  based on DNS
Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS
Stephan Gärttner
F. Alpak
Andreas Meier
N. Ray
F. Frank
18
17
0
04 Sep 2021
Physics-informed neural networks (PINNs) for fluid mechanics: A review
Physics-informed neural networks (PINNs) for fluid mechanics: A review
Shengze Cai
Zhiping Mao
Zhicheng Wang
Minglang Yin
George Karniadakis
PINN
AI4CE
73
1,189
0
20 May 2021
Exploiting Spatial Dimensions of Latent in GAN for Real-time Image
  Editing
Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing
Hyunsu Kim
Yunjey Choi
Junho Kim
S. Yoo
Youngjung Uh
57
148
0
30 Apr 2021
SimPoE: Simulated Character Control for 3D Human Pose Estimation
SimPoE: Simulated Character Control for 3D Human Pose Estimation
Ye Yuan
S. Wei
Tomas Simon
Kris Kitani
Jason M. Saragih
117
134
0
01 Apr 2021
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
Adam R. Kosiorek
Heiko Strathmann
Daniel Zoran
Pol Moreno
R. Schneider
Sovna Mokrá
Danilo Jimenez Rezende
DRL
95
141
0
01 Apr 2021
Deconvolution-and-convolution Networks
Deconvolution-and-convolution Networks
Yimin Yang
Wandong Zhang
Jonathan Wu
Will Zhao
Ao Chen
23
8
0
22 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViT
MedIm
176
1,607
0
18 Mar 2021
Real-World Single Image Super-Resolution: A Brief Review
Real-World Single Image Super-Resolution: A Brief Review
Honggang Chen
Xiaohai He
L. Qing
Yuanyuan Wu
Chao Ren
Ce Zhu
104
268
0
03 Mar 2021
Big Self-Supervised Models Advance Medical Image Classification
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
112
515
0
13 Jan 2021
Deep Learning-based Face Super-Resolution: A Survey
Deep Learning-based Face Super-Resolution: A Survey
Junjun Jiang
Chenyang Wang
Xianming Liu
Jiayi Ma
SupR
CVBM
68
129
0
11 Jan 2021
Physics-Informed Neural Network Super Resolution for Advection-Diffusion
  Models
Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models
Chulin Wang
E. Bentivegna
Wang Zhou
L. Klein
Bruce Elmegreen
DiffM
62
32
0
04 Nov 2020
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
497
2,414
0
18 Oct 2020
A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow
  Fields on Irregular Geometries
A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries
Ali Kashefi
Davis Rempe
Leonidas Guibas
3DPC
AI4CE
52
200
0
15 Oct 2020
Video Super Resolution Based on Deep Learning: A Comprehensive Survey
Video Super Resolution Based on Deep Learning: A Comprehensive Survey
Hongying Liu
Zhubo Ruan
Peng Zhao
Chao Dong
Fanhua Shang
Yuanyuan Liu
Linlin Yang
Radu Timofte
SupR
68
173
0
25 Jul 2020
Semi-supervised Medical Image Classification with Relation-driven
  Self-ensembling Model
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
Quande Liu
Lequan Yu
Luyang Luo
Qi Dou
Pheng Ann Heng
87
226
0
15 May 2020
Deep Learning Techniques for Inverse Problems in Imaging
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
81
533
0
12 May 2020
On the interplay between physical and content priors in deep learning
  for computational imaging
On the interplay between physical and content priors in deep learning for computational imaging
Mo Deng
Shuai Li
Iksung Kang
N. Fang
George Barbastathis
65
26
0
14 Apr 2020
In-Domain GAN Inversion for Real Image Editing
In-Domain GAN Inversion for Real Image Editing
Jiapeng Zhu
Yujun Shen
Deli Zhao
Bolei Zhou
DiffM
70
641
0
31 Mar 2020
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation
Mariko Isogawa
Ye Yuan
Matthew O'Toole
Kris Kitani
3DH
71
61
0
31 Mar 2020
Fashion Meets Computer Vision: A Survey
Fashion Meets Computer Vision: A Survey
Wen-Huang Cheng
Sijie Song
Chieh-Yun Chen
S. Hidayati
Jiaying Liu
AI4TS
71
98
0
31 Mar 2020
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
173
435
0
10 Mar 2020
xBD: A Dataset for Assessing Building Damage from Satellite Imagery
xBD: A Dataset for Assessing Building Damage from Satellite Imagery
Ritwik Gupta
Richard Hosfelt
Sandra Sajeev
N. Patel
B. Goodman
Jigar Doshi
Eric T. Heim
Howie Choset
Matthew E. Gaston
55
273
0
21 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
121
6,269
0
22 Oct 2019
DeepONet: Learning nonlinear operators for identifying differential
  equations based on the universal approximation theorem of operators
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
Lu Lu
Pengzhan Jin
George Karniadakis
245
2,131
0
08 Oct 2019
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
Kexin Yi
Yuta Saito
Yunzhu Li
Pushmeet Kohli
Jiajun Wu
Antonio Torralba
J. Tenenbaum
NAI
118
473
0
03 Oct 2019
Physics-informed semantic inpainting: Application to geostatistical
  modeling
Physics-informed semantic inpainting: Application to geostatistical modeling
Q. Zheng
L. Zeng
Zhendan Cao
George Karniadakis
GAN
46
54
0
19 Sep 2019
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