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Predicting the Physical Dynamics of Unseen 3D Objects

Predicting the Physical Dynamics of Unseen 3D Objects

16 January 2020
Davis Rempe
Srinath Sridhar
He-Nan Wang
Leonidas J. Guibas
    AI4CE
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Papers citing "Predicting the Physical Dynamics of Unseen 3D Objects"

4 / 4 papers shown
Title
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
Connor Schenck
D. Fox
PINN
3DPC
AI4CE
167
161
0
15 Jun 2018
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object
  Deformations
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations
Zhihua Wang
Stefano Rosa
Bo Yang
Sen Wang
A. Trigoni
Andrew Markham
AI4CE
33
25
0
25 Apr 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
236
438
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
260
1,400
0
01 Dec 2016
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