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Inferring Fluid Dynamics via Inverse Rendering

Inferring Fluid Dynamics via Inverse Rendering

10 April 2023
Jinxian Liu
Ye Chen
Bingbing Ni
Jiyao Mao
Zhenbo Yu
    3DH
    AI4CE
ArXivPDFHTML

Papers citing "Inferring Fluid Dynamics via Inverse Rendering"

12 / 12 papers shown
Title
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
42
54
0
14 Jun 2022
Eikonal Fields for Refractive Novel-View Synthesis
Eikonal Fields for Refractive Novel-View Synthesis
Mojtaba Bemana
K. Myszkowski
J. Frisvad
Hans-Peter Seidel
Tobias Ritschel
EgoV
57
40
0
02 Feb 2022
Extracting Triangular 3D Models, Materials, and Lighting From Images
Extracting Triangular 3D Models, Materials, and Lighting From Images
Jacob Munkberg
J. Hasselgren
Tianchang Shen
Jun Gao
Wenzheng Chen
Alex Evans
Thomas Müller
Sanja Fidler
61
374
0
24 Nov 2021
Unsupervised Discovery of Object Radiance Fields
Unsupervised Discovery of Object Radiance Fields
Hong-Xing Yu
Leonidas Guibas
Jiajun Wu
OCL
37
122
0
16 Jul 2021
Neural Sparse Voxel Fields
Neural Sparse Voxel Fields
Lingjie Liu
Jiatao Gu
Kyaw Zaw Lin
Tat-Seng Chua
Christian Theobalt
233
1,258
0
22 Jul 2020
Learning to Simulate Complex Physics with Graph Networks
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez
Jonathan Godwin
Tobias Pfaff
Rex Ying
J. Leskovec
Peter W. Battaglia
PINN
AI4CE
90
1,065
0
21 Feb 2020
Inverse Path Tracing for Joint Material and Lighting Estimation
Inverse Path Tracing for Joint Material and Lighting Estimation
Dejan Azinović
Tzu-Mao Li
Anton Kaplanyan
Matthias Nießner
3DV
23
122
0
17 Mar 2019
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Eldar Insafutdinov
Alexey Dosovitskiy
3DPC
48
244
0
22 Oct 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable
  Objects, and Fluids
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Yunzhu Li
Jiajun Wu
Russ Tedrake
J. Tenenbaum
Antonio Torralba
PINN
AI4CE
55
391
0
03 Oct 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
179
11,610
0
11 Jan 2018
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
300
439
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
418
1,405
0
01 Dec 2016
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