Byungsoo Kim

Orcid: 0000-0003-4482-8363

Affiliations:
  • ETH Zurich, Switzerland (PhD 2021)
  • Korea University, Seoul, South Korea (former)


According to our database1, Byungsoo Kim authored at least 14 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Physics-Informed Neural Corrector for Deformation-based Fluid Control.
Comput. Graph. Forum, May, 2023

2022
Implicit neural representation for physics-driven actuated soft bodies.
ACM Trans. Graph., 2022

Deep Reconstruction of 3D Smoke Densities from Artist Sketches.
Comput. Graph. Forum, 2022

2021
Modeling Electromagnetic Navigation Systems.
IEEE Trans. Robotics, 2021

2020
Data-Driven Methods for Artist-Directed Fluid Simulations.
PhD thesis, 2020

Lagrangian neural style transfer for fluids.
ACM Trans. Graph., 2020

Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow.
Comput. Graph. Forum, 2020

Neural Smoke Stylization with Color Transfer.
Proceedings of the 41st Annual Conference of the European Association for Computer Graphics, 2020

Frequency-Aware Reconstruction of Fluid Simulations with Generative Networks.
Proceedings of the 41st Annual Conference of the European Association for Computer Graphics, 2020

2019
Transport-based neural style transfer for smoke simulations.
ACM Trans. Graph., 2019

Robust Reference Frame Extraction from Unsteady 2D Vector Fields with Convolutional Neural Networks.
Comput. Graph. Forum, 2019

Deep Fluids: A Generative Network for Parameterized Fluid Simulations.
Comput. Graph. Forum, 2019

2018
Semantic Segmentation for Line Drawing Vectorization Using Neural Networks.
Comput. Graph. Forum, 2018

2014
Geospatial spreadsheets with microscale air quality visualization and synchronization for supporting multiple-scenario visual collaboration.
Int. J. Geogr. Inf. Sci., 2014


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