SPNets: Differentiable Fluid Dynamics for Deep Neural Networks

15 June 2018

Papers citing "SPNets: Differentiable Fluid Dynamics for Deep Neural Networks"

50 / 98 papers shown

Title
UBSoft: A Simulation Platform for Robotic Skill Learning in Unbounded Soft Environments Chunru Lin Jugang Fan Yian Wang Zeyuan Yang Zhehuan Chen Lixing Fang Tsun-Hsuan Wang Zhou Xian Chuang Gan 73 1 0 19 Nov 2024
DiffSound: Differentiable Modal Sound Rendering and Inverse Rendering for Diverse Inference Tasks Xutong Jin Chenxi Xu Ruohan Gao Jiajun Wu Guoping Wang Sheng Li DiffM 38 2 0 20 Sep 2024
A Review of Differentiable Simulators Rhys Newbury Jack Collins Kerry He Jiahe Pan Ingmar Posner David Howard Akansel Cosgun AI4CE 46 9 0 08 Jul 2024
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video Xiangming Zhu Huayu Deng Haochen Yuan Yunbo Wang Xiaokang Yang AI4CE VGen PINN 40 1 0 18 Jun 2024
Stabilizing Backpropagation Through Time to Learn Complex Physics Patrick Schnell Nils Thuerey 35 2 0 03 May 2024
Differentiable Particles for General-Purpose Deformable Object Manipulation Siwei Chen Yiqing Xu Cunjun Yu Linfeng Li David Hsu 40 6 0 02 May 2024
Thin-Shell Object Manipulations With Differentiable Physics Simulations Yian Wang Juntian Zheng Zhehuan Chen Zhou Xian Gu Zhang Chao Liu Chuang Gan 27 4 0 30 Mar 2024
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework Artur P. Toshev Harish D. Ramachandran Jonas A. Erbesdobler Gianluca Galletti Johannes Brandstetter Nikolaus A. Adams 46 7 0 07 Mar 2024
Bayesian Differentiable Physics for Cloth Digitalization Deshan Gong Ningtao Mao He-Nan Wang AI4CE 32 0 0 27 Feb 2024
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning Haoyi Zhu Yating Wang Di Huang Weicai Ye Wanli Ouyang Tong He SSL 3DPC 44 20 0 04 Feb 2024
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction Qilong Ma Haixu Wu Lanxiang Xing Jianmin Wang Mingsheng Long AI4CE 26 0 0 04 Feb 2024
A GPU-based Hydrodynamic Simulator with Boid Interactions Xi Liu Gizem Kayar Ken Perlin AI4CE 17 0 0 25 Nov 2023
QuasiNet: a neural network with trainable product layers Kristína Malinovská Slavomír Holenda L. Malinovský 18 0 0 21 Nov 2023
Differentiable Fluid Physics Parameter Identification Via Stirring Samuel Paradis Dongzhe Zheng Yutong Li Michael Whitmeyer Cewu Lu 13 0 0 09 Nov 2023
Jade: A Differentiable Physics Engine for Articulated Rigid Bodies with Intersection-Free Frictional Contact Gang Yang Siyuan Luo Lin Shao 27 6 0 09 Sep 2023
Zero Grads: Learning Local Surrogate Losses for Non-Differentiable Graphics Michael Fischer Tobias Ritschel 27 2 0 10 Aug 2023
System Identification and Control of Front-Steered Ackermann Vehicles through Differentiable Physics B. M. Gonultas Pratik Mukherjee O. G. Poyrazoglu Volkan Isler 24 3 0 07 Aug 2023
Fluid Viscosity Prediction Leveraging Computer Vision and Robot Interaction Jong Hoon Park G. Dalwankar Alison Bartsch Abraham George A. Farimani 21 1 0 04 Aug 2023
SURFSUP: Learning Fluid Simulation for Novel Surfaces Arjun Mani I. Chandratreya Elliot Creager Carl Vondrick R. Zemel AI4CE 27 2 0 13 Apr 2023
SPONGE: Sequence Planning with Deformable-ON-Rigid Contact Prediction from Geometric Features Tran Minh Son Le Fares J. Abu-Dakka Ville Kyrki 39 1 0 24 Mar 2023
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation Zhou Xian Bo Zhu Zhenjia Xu H. Tung Antonio Torralba Katerina Fragkiadaki Chuang Gan 48 43 0 04 Mar 2023
Active Mass Distribution Estimation from Tactile Feedback Jiacheng Yuan Changhyun Choi E. Tadmor Volkan Isler 8 1 0 02 Mar 2023
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision Erik Franz B. Solenthaler N. Thürey 3DPC MDE 20 2 0 28 Feb 2023
Exploring Physical Latent Spaces for High-Resolution Flow Restoration Chloé Paliard Nils Thuerey Kiwon Um AI4CE 25 0 0 21 Nov 2022
ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds Daniel Seita Yufei Wang Sarthak J. Shetty Edward Li Zackory M. Erickson David Held 3DPC 30 49 0 16 Nov 2022
A Solution to Slosh-free Robot Trajectory Optimization Rafael I. Cabral Muchacho Riddhiman Laha Luis F. C. Figueredo Sami Haddadin 16 17 0 23 Oct 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics L. Prantl Benjamin Ummenhofer V. Koltun Nils Thuerey AI4CE PINN 26 29 0 12 Oct 2022
Learning Pair Potentials using Differentiable Simulations Wujie Wang Zhenghao Wu Rafael Gómez-Bombarelli 25 23 0 16 Sep 2022
Wavelet-based Loss for High-frequency Interface Dynamics L. Prantl Jan Bender Tassilo Kugelstadt Nils Thuerey GAN 18 0 0 06 Sep 2022
Thermodynamics of learning physical phenomena Elías Cueto Francisco Chinesta AI4CE 25 22 0 26 Jul 2022
Transformer with Implicit Edges for Particle-based Physics Simulation Yidi Shao Chen Change Loy Bo Dai 16 15 0 22 Jul 2022
Complex Locomotion Skill Learning via Differentiable Physics Yu Fang Jiancheng Liu Mingrui Zhang Jiasheng Zhang Y. Ma Minchen Li Yuanming Hu Chenfanfu Jiang Tiantian Liu 20 5 0 06 Jun 2022
Control of Two-way Coupled Fluid Systems with Differentiable Solvers B. Ramos Felix Trost Nils Thuerey AI4CE 14 5 0 01 Jun 2022
Differentiable solver for time-dependent deformation problems with contact Zizhou Huang Davi C. Tozoni Arvi Gjoka Z. Ferguson T. Schneider Daniele Panozzo Denis Zorin AI4CE 35 18 0 26 May 2022
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools Xingyu Lin Zhiao Huang Yunzhu Li J. Tenenbaum David Held Chuang Gan 30 72 0 31 Mar 2022
Half-Inverse Gradients for Physical Deep Learning Patrick Schnell Philipp Holl Nils Thuerey 8 7 0 18 Mar 2022
A Thermodynamics-informed Active Learning Approach to Perception and Reasoning about Fluids B. Moya Alberto Badías D. González Francisco Chinesta Elías Cueto AI4CE 10 12 0 11 Mar 2022
Differentiable Robotic Manipulation of Deformable Rope-like Objects Using Compliant Position-based Dynamics Fei Liu Entong Su Jingpei Lu Ming Li Michael C. Yip AI4CE 21 8 0 20 Feb 2022
AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems Ying Zhou Xiang Chen Peng Zhang Jun Wang Lei Wang Hongfeng Guo 26 1 0 10 Feb 2022
Physical Design using Differentiable Learned Simulators Kelsey R. Allen Tatiana López-Guevara Kimberly L. Stachenfeld Alvaro Sanchez-Gonzalez Peter W. Battaglia Jessica B. Hamrick Tobias Pfaff AI4CE 19 42 0 01 Feb 2022
Fine-grained differentiable physics: a yarn-level model for fabrics Deshan Gong Zhanxing Zhu A. Bulpitt He-Nan Wang AI4CE 43 10 0 01 Feb 2022
Closed-Loop Control of Direct Ink Writing via Reinforcement Learning Michal Piovarči Michael Foshey Jie Xu Timothy Erps Vahid Babaei Piotr Didyk Szymon Rusinkiewicz Wojciech Matusik Bernd Bickel AI4CE 11 22 0 27 Jan 2022
Parameter Identification and Motion Control for Articulated Rigid Body Robots Using Differentiable Position-based Dynamics Fei Liu Ming Li Jingpei Lu Entong Su Michael C. Yip AI4CE 24 6 0 15 Jan 2022
SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning Jun Lv Qiaojun Yu Lin Shao Wenhai Liu Wenqiang Xu Cewu Lu 33 24 0 29 Nov 2021
Image Based Reconstruction of Liquids from 2D Surface Detections Florian Richter Ryan K. Orosco Michael C. Yip 16 7 0 22 Nov 2021
DQC: a Python program package for Differentiable Quantum Chemistry M. F. Kasim S. Lehtola S. Vinko 17 34 0 22 Oct 2021
AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia Frank Schafer Mohamed Tarek Lyndon White Chris Rackauckas 13 5 0 25 Sep 2021
Efficient Differentiable Simulation of Articulated Bodies Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin AI4CE 40 55 0 16 Sep 2021
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs Nils Wandel Michael Weinmann Michael Neidlin Reinhard Klein AI4CE 58 60 0 15 Sep 2021
Physics perception in sloshing scenes with guaranteed thermodynamic consistency B. Moya Alberto Badías D. González Francisco Chinesta Elías Cueto 35 14 0 24 Jun 2021