Inferring Fluid Dynamics via Inverse Rendering

10 April 2023

Papers citing "Inferring Fluid Dynamics via Inverse Rendering"

7 / 7 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 28 0 0 11 Oct 2024
Inferring Hybrid Neural Fluid Fields from Videos Hong-Xing Yu Yang Zheng Yuan Gao Yitong Deng Bo Zhu Jiajun Wu 3DH 22 15 0 11 Dec 2023
$Eikonal Fields for Refractive Novel-View Synthesis$ Eikonal Fields for Refractive Novel-View Synthesis Mojtaba Bemana K. Myszkowski J. Frisvad Hans-Peter Seidel Tobias Ritschel EgoV 45 40 0 02 Feb 2022
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs Nils Wandel Michael Weinmann Michael Neidlin Reinhard Klein AI4CE 50 58 0 15 Sep 2021
Neural Sparse Voxel Fields Lingjie Liu Jiatao Gu Kyaw Zaw Lin Tat-Seng Chua Christian Theobalt 180 1,234 0 22 Jul 2020
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 226 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 255 1,394 0 01 Dec 2016