ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.06291
  4. Cited By
Predicting the Physical Dynamics of Unseen 3D Objects

Predicting the Physical Dynamics of Unseen 3D Objects

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
16 January 2020
Davis Rempe
Srinath Sridhar
He Wang
Leonidas Guibas
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Predicting the Physical Dynamics of Unseen 3D Objects"

9 / 9 papers shown
CoopDiff: Anticipating 3D Human-object Interactions via Contact-consistent Decoupled Diffusion
CoopDiff: Anticipating 3D Human-object Interactions via Contact-consistent Decoupled Diffusion
Xiaotong Lin
Tianming Liang
Jian-Fang Hu
Kun-Li Channing Lin
Yulei Kang
Chunwei Tian
Jianhuang Lai
Wei-Shi Zheng
177
1
0
10 Aug 2025
Rigid-Deformation Decomposition AI Framework for 3D Spatio-Temporal Prediction of Vehicle Collision Dynamics
Rigid-Deformation Decomposition AI Framework for 3D Spatio-Temporal Prediction of Vehicle Collision Dynamics
Sanghyuk Kim
Minsik Seo
Namwoo Kang
Namwoo Kang
AI4CE
321
1
0
25 Mar 2025
CG-HOI: Contact-Guided 3D Human-Object Interaction Generation
CG-HOI: Contact-Guided 3D Human-Object Interaction GenerationComputer Vision and Pattern Recognition (CVPR), 2023
Christian Diller
Angela Dai
524
131
0
27 Nov 2023
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed
  Diffusion
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed DiffusionIEEE International Conference on Computer Vision (ICCV), 2023
Sirui Xu
Zhengyu Li
Yu Wang
Liangyan Gui
DiffM
451
197
0
31 Aug 2023
Pretraining on Interactions for Learning Grounded Affordance
  Representations
Pretraining on Interactions for Learning Grounded Affordance Representations
Jack Merullo
Dylan Ebert
Carsten Eickhoff
Ellie Pavlick
240
5
0
05 Jul 2022
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static
  Models by Fitting Feature-level Space-time Surfaces
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time SurfacesComputer Vision and Pattern Recognition (CVPR), 2022
Jianqi Zhong
Kaichen Zhou
Qingyong Hu
Bing Wang
Niki Trigoni
Andrew Markham
3DPC
321
32
0
21 Mar 2022
Probabilistic Programming Bots in Intuitive Physics Game Play
Probabilistic Programming Bots in Intuitive Physics Game PlayAAAI Conference on Artificial Intelligence (AAAI), 2021
Fahad Alhasoun
Sarah Alnegheimish
J. Tenenbaum
104
1
0
05 Apr 2021
A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow
  Fields on Irregular Geometries
A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries
Ali Kashefi
Davis Rempe
Leonidas Guibas
3DPCAI4CE
344
252
0
15 Oct 2020
Alternating ConvLSTM: Learning Force Propagation with Alternate State
  Updates
Alternating ConvLSTM: Learning Force Propagation with Alternate State Updates
Congyue Deng
Tai-Jiang Mu
Shimin Hu
239
4
0
14 Jun 2020
1
Page 1 of 1