Exploratory Lagrangian-Based Particle Tracing Using Deep Learning

Exploratory Lagrangian-Based Particle Tracing Using Deep Learning

15 October 2021

Chris R. Johnson

Papers citing "Exploratory Lagrangian-Based Particle Tracing Using Deep Learning"

11 / 11 papers shown

Title
ParamsDrag: Interactive Parameter Space Exploration via Image-Space Dragging Guan Li Yang Liu Guihua Shan Shiyu Cheng Weiqun Cao Junpeng Wang Ko-Chih Wang DiffM 34 2 0 19 Jul 2024
VortexViz: Finding Vortex Boundaries by Learning from Particle Trajectories Akila de Silva Nicholas Tee Omkar Ghanekar Fahim Hasan Khan Gregory Dusek James Davis Alex Pang 34 0 0 01 Apr 2024
Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks Mengjiao Han Jixian Li Sudhanshu Sane Shubham Gupta Bei Wang Steve Petruzza C. R. Johnson AI4CE 26 2 0 20 Dec 2023
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data Jingyi Shen Hang Shen 28 5 0 08 Aug 2023
Integration-free Learning of Flow Maps Saroj Sahoo M. Berger 31 1 0 06 Nov 2022
Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles Mengjiao Han Tushar M. Athawale D. Pugmire Chris R. Johnson 38 8 0 15 Jul 2022
Efficient Interpolation-based Pathline Tracing with B-spline Curves in Particle Dataset Haoyu Li Tianyu Xiong Han-Wei Shen 6 1 0 14 Jul 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 38 36 0 13 Apr 2022
A DNN Framework for Learning Lagrangian Drift With Uncertainty J. Jenkins A. Paiement Y. Ourmières Julien Le Sommer J. Verron C. Ubelmann H. Glotin 26 5 0 12 Apr 2022
Local Latent Representation based on Geometric Convolution for Particle Data Feature Exploration Haoyu Li Han-Wei Shen 3DPC 19 2 0 27 May 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 198 5,176 0 16 Sep 2016