Inferring Hybrid Neural Fluid Fields from Videos

11 December 2023

Hong-Xing Yu

Yang Zheng

Yuan Gao

Yitong Deng

Bo Zhu

Jiajun Wu

3DH

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Papers citing "Inferring Hybrid Neural Fluid Fields from Videos"

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Title
ReMatching Dynamic Reconstruction Flow Sara Oblak Despoina Paschalidou Sanja Fidler Matan Atzmon 105 0 0 01 Nov 2024
Multi-Object Manipulation via Object-Centric Neural Scattering Functions Stephen Tian Yancheng Cai Hong-Xing Yu Sergey Zakharov Katherine Liu Adrien Gaidon Yunzhu Li Jiajun Wu OCL 44 11 0 14 Jun 2023
Inferring Fluid Dynamics via Inverse Rendering Jinxian Liu Ye Chen Bingbing Ni Jiyao Mao Zhenbo Yu 3DH AI4CE 51 5 0 10 Apr 2023
Learning Object-Centric Neural Scattering Functions for Free-Viewpoint Relighting and Scene Composition Hong-Xing Yu Michelle Guo Alireza Fathi Yen-Yu Chang E. R. Chan Ruohan Gao Thomas Funkhouser Jiajun Wu 75 20 0 10 Mar 2023
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification Xuan Li Yi-Ling Qiao Julius Berner Krishna Murthy Jatavallabhula Ming Lin Chenfanfu Jiang Chuang Gan 107 84 0 09 Mar 2023
Learning Vortex Dynamics for Fluid Inference and Prediction Yitong Deng Hong-Xing Yu Jiajun Wu Bo Zhu MDE 65 20 0 27 Jan 2023
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance Sara Fridovich-Keil Giacomo Meanti Frederik Warburg Benjamin Recht Angjoo Kanazawa VGen 112 571 0 24 Jan 2023
Differentiable Physics Simulation of Dynamics-Augmented Neural Objects Simon Le Cleac'h Hong-Xing Yu Michelle Guo Taylor A. Howell Ruohan Gao Jiajun Wu Zachary Manchester Mac Schwager AI4CE 48 44 0 17 Oct 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics L. Prantl Benjamin Ummenhofer V. Koltun Nils Thuerey AI4CE PINN 56 31 0 12 Oct 2022
Object Scene Representation Transformer Mehdi S. M. Sajjadi Daniel Duckworth Aravindh Mahendran Sjoerd van Steenkiste Filip Pavetić Mario Luvcić Leonidas Guibas Klaus Greff Thomas Kipf ViT OCL 60 93 0 14 Jun 2022
Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data Mengyu Chu Lingjie Liu Q. Zheng Erik Franz Hans-Peter Seidel Christian Theobalt Rhaleb Zayer AI4CE 56 56 0 14 Jun 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller Alex Evans Christoph Schied A. Keller 291 4,009 0 16 Jan 2022
Unsupervised Discovery of Object Radiance Fields Hong-Xing Yu Leonidas Guibas Jiajun Wu OCL 54 124 0 16 Jul 2021
Global Transport for Fluid Reconstruction with Learned Self-Supervision Erik Franz B. Solenthaler Nils Thuerey 51 26 0 13 Apr 2021
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting Kai Zhang Fujun Luan Qianqian Wang Kavita Bala Noah Snavely 3DGS 80 349 0 01 Apr 2021
Neural Radiance Flow for 4D View Synthesis and Video Processing Yilun Du Yinan Zhang Hong-Xing Yu J. Tenenbaum Jiajun Wu AI4CE 59 275 0 17 Dec 2020
D-NeRF: Neural Radiance Fields for Dynamic Scenes Albert Pumarola Enric Corona Gerard Pons-Moll Francesc Moreno-Noguer 106 1,437 0 27 Nov 2020
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes Zhengqi Li Simon Niklaus Noah Snavely Oliver Wang 115 808 0 26 Nov 2020
Space-time Neural Irradiance Fields for Free-Viewpoint Video Wenqi Xian Jia-Bin Huang Johannes Kopf Changil Kim 3DH 134 455 0 25 Nov 2020
Nerfies: Deformable Neural Radiance Fields Keunhong Park U. Sinha Jonathan T. Barron Sofien Bouaziz Dan B. Goldman S. M. Seitz Ricardo Martín Brualla 3DH 144 1,135 0 25 Nov 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 116 2,414 0 18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 120 2,548 0 17 Jun 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis B. Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron R. Ramamoorthi Ren Ng 116 2,595 0 19 Mar 2020
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 151 1,278 0 04 Jun 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 118 3,680 0 16 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space L. Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger 3DV 236 2,894 0 10 Dec 2018
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 126 1,436 0 22 Jun 2018
Coupled Fluid Density and Motion from Single Views Marie-Lena Eckert Wolfgang Heidrich N. Thürey 37 30 0 18 Jun 2018
Deep Fluids: A Generative Network for Parameterized Fluid Simulations Byungsoo Kim Vinicius Azevedo N. Thürey Theodore Kim Markus Gross B. Solenthaler GAN 52 389 0 06 Jun 2018
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow S. Wiewel M. Becher N. Thürey AI4CE 78 275 0 27 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 331 11,784 0 11 Jan 2018
Accelerating Eulerian Fluid Simulation With Convolutional Networks Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin 80 534 0 13 Jul 2016