Neural Implicit Representations for Physical Parameter Inference from a Single Video

29 April 2022

Papers citing "Neural Implicit Representations for Physical Parameter Inference from a Single Video"

48 / 48 papers shown

Title
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems Alejandro Castañeda Garcia Jan van Gemert Daan Brinks Nergis Tömen 64 0 0 02 Oct 2024
SMURF: Continuous Dynamics for Motion-Deblurring Radiance Fields Jungho Lee Dogyoon Lee Minhyeok Lee Donghyung Kim Sangyoun Lee 82 7 0 12 Mar 2024
φ-SfT: Shape-from-Template with a Physics-Based Deformation Model Navami Kairanda Edith Tretschk Mohamed A. Elgharib Christian Theobalt Vladislav Golyanik 76 21 0 22 Mar 2022
Dissipative Hamiltonian Neural Networks: Learning Dissipative and Conservative Dynamics Separately A. Sosanya S. Greydanus PINN AI4CE 62 31 0 25 Jan 2022
Vision-based system identification and 3D keypoint discovery using dynamics constraints Miguel Jaques Martin Asenov Michael G. Burke Timothy M. Hospedales 60 4 0 13 Sep 2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines Daniel M. Bear E. Wang Damian Mrowca Felix Binder Hsiau-Yu Fish Tung ... Li Fei-Fei Nancy Kanwisher J. Tenenbaum Daniel L. K. Yamins Judith E. Fan OOD 99 97 0 15 Jun 2021
Neural RGB-D Surface Reconstruction Dejan Azinović Ricardo Martín Brualla Dan B. Goldman Matthias Nießner Justus Thies 3DH 3DV 73 278 0 09 Apr 2021
Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video Berthy Feng Alexander C. Ogren Chiara Daraio Katherine Bouman 19 6 0 06 Apr 2021
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning Zhenfang Chen Jiayuan Mao Jiajun Wu Kwan-Yee K. Wong J. Tenenbaum Chuang Gan VGen 71 94 0 30 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 62 54 0 25 Feb 2021
STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural Rendering Wentao Yuan Zhaoyang Lv Tanner Schmidt S. Lovegrove 51 92 0 22 Dec 2020
Neural Radiance Flow for 4D View Synthesis and Video Processing Yilun Du Yinan Zhang Hong-Xing Yu J. Tenenbaum Jiajun Wu AI4CE 63 275 0 17 Dec 2020
D-NeRF: Neural Radiance Fields for Dynamic Scenes Albert Pumarola Enric Corona Gerard Pons-Moll Francesc Moreno-Noguer 109 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 142 455 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 149 1,136 0 25 Nov 2020
Neural Scene Graphs for Dynamic Scenes Julian Ost Fahim Mannan Nils Thuerey Julian Knodt Felix Heide GNN OCL AI4CE 89 302 0 20 Nov 2020
Learning to Identify Physical Parameters from Video Using Differentiable Physics Rama Krishna Kandukuri Jan Achterhold Michael Möller J. Stückler SSL 38 14 0 17 Sep 2020
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control Yaofeng Desmond Zhong Naomi Ehrich Leonard DRL AI4CE 56 43 0 03 Jul 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 119 2,418 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 137 2,548 0 17 Jun 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 173 435 0 10 Mar 2020
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 342 985 0 10 Mar 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 145 290 0 03 Mar 2020
Implicit Geometric Regularization for Learning Shapes Amos Gropp Lior Yariv Niv Haim Matan Atzmon Y. Lipman AI4CE 106 858 0 24 Feb 2020
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision Michael Niemeyer L. Mescheder Michael Oechsle Andreas Geiger 3DH 3DV 69 995 0 16 Dec 2019
Visual Physics: Discovering Physical Laws from Videos Pradyumna Chari Chinmay Talegaonkar Yunhao Ba A. Kadambi PINN 15 10 0 27 Nov 2019
SAL: Sign Agnostic Learning of Shapes from Raw Data Matan Atzmon Y. Lipman 3DPC FedML 132 511 0 23 Nov 2019
Structured Object-Aware Physics Prediction for Video Modeling and Planning Jannik Kossen Karl Stelzner Marcel Hussing C. Voelcker Kristian Kersting OCL 68 70 0 06 Oct 2019
Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction S. Weiss Robert Maier Rüdiger Westermann Daniel Cremers Nils Thuerey 52 17 0 04 Oct 2019
Hamiltonian Generative Networks Peter Toth Danilo Jimenez Rezende Andrew Jaegle S. Racanière Aleksandar Botev I. Higgins BDL DRL AI4CE GAN 61 217 0 30 Sep 2019
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty PINN 88 271 0 26 Sep 2019
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control Nir Levine Yinlam Chow Rui Shu Ang Li Mohammad Ghavamzadeh Hung Bui 42 30 0 04 Sep 2019
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning M. Lutter Christian Ritter Jan Peters PINN AI4CE 58 378 0 10 Jul 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 153 1,279 0 04 Jun 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 118 894 0 04 Jun 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 89 45 0 27 May 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 131 3,683 0 16 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space L. Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger 3DV 236 2,897 0 10 Dec 2018
Learning Implicit Fields for Generative Shape Modeling Zhiqin Chen Hao Zhang AI4CE 3DV 142 1,631 0 06 Dec 2018
Discovering physical concepts with neural networks Raban Iten Tony Metger H. Wilming L. D. Rio R. Renner PINN AI4CE 53 390 0 26 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 411 5,103 0 19 Jun 2018
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations M. Raissi George Karniadakis AI4CE PINN 73 1,137 0 02 Aug 2017
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations M. Raissi P. Perdikaris George Karniadakis 74 268 0 29 Mar 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 350 27,181 0 20 Mar 2017
Label-Free Supervision of Neural Networks with Physics and Domain Knowledge Russell Stewart Stefano Ermon 66 344 0 18 Sep 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 214 5,076 0 05 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014