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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
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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
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
Yash Zambre
Akshatha Mohan
G. Aragon-Camarasa
AI4CE
25
2
0
20 Dec 2021
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
Soshi Shimada
Vladislav Golyanik
E. Tretschk
D. Stricker
Christian Theobalt
3DPC
17
23
0
24 Jul 2019
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