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3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object
  Deformations

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations

25 April 2018
Zhihua Wang
Stefano Rosa
Bo Yang
Sen Wang
A. Trigoni
Andrew Markham
    AI4CE
ArXivPDFHTML

Papers citing "3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations"

5 / 5 papers shown
Title
Normative Modeling via Conditional Variational Autoencoder and
  Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease
Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease
Xuetong Wang
K. Zhao
Rong-Er Zhou
Alex Leow
R. Osorio
Yu Zhang
Lifang He
OOD
CML
6
6
0
13 Nov 2022
Learning Physics Properties of Fabrics and Garments with a Physics
  Similarity Neural Network
Learning Physics Properties of Fabrics and Garments with a Physics Similarity Neural Network
Yash Zambre
Akshatha Mohan
G. Aragon-Camarasa
AI4CE
25
2
0
20 Dec 2021
Deep Molecular Representation Learning via Fusing Physical and Chemical
  Information
Deep Molecular Representation Learning via Fusing Physical and Chemical Information
Shuwen Yang
Ziyao Li
Guojie Song
Lingsheng Cai
AI4CE
38
28
0
28 Nov 2021
DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning
  Proxies
DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies
Soshi Shimada
Vladislav Golyanik
E. Tretschk
D. Stricker
Christian Theobalt
3DPC
17
23
0
24 Jul 2019
Flexible Neural Representation for Physics Prediction
Flexible Neural Representation for Physics Prediction
Damian Mrowca
Chengxu Zhuang
E. Wang
Nick Haber
Li Fei-Fei
J. Tenenbaum
Daniel L. K. Yamins
OCL
AI4CE
22
248
0
21 Jun 2018
1