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

25 April 2018

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

6 / 6 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 11 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
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs) Victor Villena-Martinez Sergiu Oprea Marcelo Saval-Calvo J. Azorín-López Andrés Fuster-Guilló Robert B. Fisher 36 32 0 06 Mar 2020
DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies Soshi Shimada Vladislav Golyanik E. Tretschk D. Stricker Christian Theobalt 3DPC 22 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