3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive
Physics under Challenging Scenes

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes

22 April 2023

Antonio Torralba

Daniel L. K. Yamins

Yunzhu Li

Papers citing "3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes"

9 / 9 papers shown

Title
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering Jiaxu Wang Jingkai Sun Junhao He Ziyi Zhang Qiang Zhang Mingyuan Sun Renjing Xu AI4CE 30 0 0 11 Oct 2024
Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics Junyi Cao Shanyan Guan Yanhao Ge Wei Li Xiaokang Yang Chao Ma AI4CE 31 5 0 10 Oct 2024
Modeling the Real World with High-Density Visual Particle Dynamics William F. Whitney Jacob Varley Deepali Jain Krzysztof Choromanski Sumeet Singh Vikas Sindhwani 23 2 0 28 Jun 2024
Navigating Hallucinations for Reasoning of Unintentional Activities Shresth Grover Vibhav Vineet Y. S. Rawat LRM 42 1 0 29 Feb 2024
Scaling Face Interaction Graph Networks to Real World Scenes Tatiana López-Guevara Yulia Rubanova William F. Whitney Tobias Pfaff Kimberly L. Stachenfeld Kelsey R. Allen AI4CE GNN 3DH 10 2 0 22 Jan 2024
Learning 3D Particle-based Simulators from RGB-D Videos William F. Whitney Tatiana López-Guevara Tobias Pfaff Yulia Rubanova Thomas Kipf Kimberly L. Stachenfeld Kelsey R. Allen VGen 25 11 0 08 Dec 2023
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields Danny Driess Zhiao Huang Yunzhu Li Russ Tedrake Marc Toussaint OCL AI4CE 109 85 0 24 Feb 2022
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning Danny Driess Jung-Su Ha Marc Toussaint Russ Tedrake 109 63 0 02 Oct 2021
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