Integration-free Learning of Flow Maps

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Integration-free Learning of Flow Maps

6 November 2022

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Papers citing "Integration-free Learning of Flow Maps"

17 / 17 papers shown

Title
Efficient Interpolation-based Pathline Tracing with B-spline Curves in Particle Dataset Haoyu Li Tianyu Xiong Han-Wei Shen 80 1 0 14 Jul 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller Alex Evans Christoph Schied A. Keller 341 4,045 0 16 Jan 2022
Fast Neural Representations for Direct Volume Rendering S. Weiss Philipp Hermüller Rüdiger Westermann 73 42 0 02 Dec 2021
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 67 75 0 25 Oct 2021
Exploratory Lagrangian-Based Particle Tracing Using Deep Learning Mengjiao Han Sudhanshu Sane Chris R. Johnson 54 18 0 15 Oct 2021
Second-Order Neural ODE Optimizer Guan-Horng Liu T. Chen Evangelos A. Theodorou 65 15 0 29 Sep 2021
Neural ODE Processes Alexander Norcliffe Cristian Bodnar Ben Day Jacob Moss Pietro Lio BDL AI4TS 85 65 0 23 Mar 2021
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes Towaki Takikawa Joey Litalien K. Yin Karsten Kreis Charles T. Loop Derek Nowrouzezahrai Alec Jacobson M. McGuire Sanja Fidler 3DV 93 525 0 26 Jan 2021
AutoInt: Automatic Integration for Fast Neural Volume Rendering David B. Lindell Julien N. P. Martel Gordon Wetzstein 67 268 0 03 Dec 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 116 286 0 14 Aug 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 130 2,449 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 165 2,577 0 17 Jun 2020
Void-and-Cluster Sampling of Large Scattered Data and Trajectories Tobias Rapp Christoph Peters C. Dachsbacher 29 24 0 11 Jul 2019
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 146 624 0 02 Nov 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 443 5,168 0 19 Jun 2018
On the Selection of Initialization and Activation Function for Deep Neural Networks Soufiane Hayou Arnaud Doucet Judith Rousseau ODL 50 76 0 21 May 2018
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014

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