Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data

14 June 2022

Hans-Peter Seidel

Papers citing "Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data"

34 / 34 papers shown

Title
Representing Flow Fields with Divergence-Free Kernels for Reconstruction Xingyu Ni Jingrui Xing Xingqiao Li Bin Wang Baoquan Chen AI4CE 38 0 0 02 Apr 2025
PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos Hanxiao Jiang Hao-Yu Hsu Kaifeng Zhang Hsin-Ni Yu Shenlong Wang Yunzhu Li VGen AI4CE 40 2 0 23 Mar 2025
FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video Yue Gao Hong-Xing Yu Bo Zhu Jiajun Wu VGen 54 1 0 06 Mar 2025
Vid2Fluid: 3D Dynamic Fluid Assets from Single-View Videos with Generative Gaussian Splatting Zhiwei Zhao Alan Zhao Minchen Li Yixin Hu 3DGS 46 0 0 02 Mar 2025
Data-Efficient Inference of Neural Fluid Fields via SciML Foundation Model Yuqiu Liu Jingxuan Xu Mauricio Soroco Yunchao Wei Wuyang Chen AI4CE 72 2 0 18 Dec 2024
ReMatching Dynamic Reconstruction Flow Sara Oblak Despoina Paschalidou Sanja Fidler Matan Atzmon 36 0 0 01 Nov 2024
Regularizing Dynamic Radiance Fields with Kinematic Fields Woobin Im Geonho Cha Sebin Lee Jumin Lee Juhyeong Seon Dongyoon Wee Sung-eui Yoon VGen 28 0 0 19 Jul 2024
Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction Yiming Wang Siyu Tang Mengyu Chu AI4CE 25 3 0 12 Jul 2024
Generative prediction of flow field based on the diffusion model Jiajun Hu Zhen Lu Yue Yang AI4CE 14 2 0 30 Jun 2024
Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization Takuhiro Kaneko 35 2 0 06 Jun 2024
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations Jan Hagnberger Marimuthu Kalimuthu Daniel Musekamp Mathias Niepert AI4TS AI4CE 29 5 0 06 Jun 2024
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes Raza Yunus J. E. Lenssen Michael Niemeyer Yiyi Liao Christian Rupprecht Christian Theobalt Gerard Pons-Moll Jia-Bin Huang Vladislav Golyanik Eddy Ilg 46 24 0 22 Mar 2024
Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians Licheng Zhong Hong-Xing Yu Jiajun Wu Yunzhu Li 59 19 0 14 Mar 2024
3D Gaussian as a New Era: A Survey Ben Fei Jingyi Xu Rui Zhang Qingyuan Zhou Weidong Yang Ying He 3DGS 40 61 0 11 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
Fluid Simulation on Neural Flow Maps Yitong Deng Hong-Xing Yu Diyang Zhang Jiajun Wu Bo Zhu AI4CE 11 21 0 22 Dec 2023
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
NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos Jinxi Li Ziyang Song Bo Yang 3DH 32 9 0 11 Dec 2023
Volumetric Cloud Field Reconstruction Jacob Lin Miguel Farinha Edward Gryspeerdt Ronald Clark 26 3 0 29 Nov 2023
Efficient Generation of Multimodal Fluid Simulation Data Daniele Baieri Donato Crisostomi Stefano Esposito Filippo Maggioli Emanuele Rodolà DiffM 21 0 0 30 Oct 2023
Dynamic Mesh-Aware Radiance Fields Yi-Ling Qiao Alexander Gao Yiran Xu Yue Feng Jia-Bin Huang Ming-Chyuan Lin AI4CE 27 19 0 08 Sep 2023
FFEINR: Flow Feature-Enhanced Implicit Neural Representation for Spatio-temporal Super-Resolution Chenyue Jiao Chongke Bi Lu Yang 6 3 0 24 Aug 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 30 27 0 29 May 2023
Inferring Fluid Dynamics via Inverse Rendering Jinxian Liu Ye Chen Bingbing Ni Jiyao Mao Zhenbo Yu 3DH AI4CE 18 5 0 10 Apr 2023
Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors Daniele Baieri Stefano Esposito Filippo Maggioli Emanuele Rodolà AI4CE 36 3 0 17 Mar 2023
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification Xuan Li Yi-Ling Qiao Peter Yichen Chen Krishna Murthy Jatavallabhula Ming Lin Chenfanfu Jiang Chuang Gan 77 71 0 09 Mar 2023
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision Erik Franz B. Solenthaler N. Thürey 3DPC MDE 12 2 0 28 Feb 2023
Learning Vortex Dynamics for Fluid Inference and Prediction Yitong Deng Hong-Xing Yu Jiajun Wu Bo Zhu MDE 16 19 0 27 Jan 2023
Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables J. E. Johnson Redouane Lguensat Ronan Fablet E. Cosme Julien Le Sommer 11 3 0 18 Nov 2022
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction Edith Tretschk Navami Kairanda R. MallikarjunB. Rishabh Dabral Adam Kortylewski Bernhard Egger Marc Habermann Pascal Fua Christian Theobalt Vladislav Golyanik 3DH 15 34 0 27 Oct 2022
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering Youngjoon Kwon Dahun Kim Duygu Ceylan Henry Fuchs 3DH 105 160 0 15 Sep 2021
Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans Sida Peng Yuanqing Zhang Yinghao Xu Qianqian Wang Qing Shuai Hujun Bao Xiaowei Zhou 3DH 195 681 0 31 Dec 2020
Neural Sparse Voxel Fields Lingjie Liu Jiatao Gu Kyaw Zaw Lin Tat-Seng Chua Christian Theobalt 186 1,234 0 22 Jul 2020
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 212 968 0 10 Mar 2020