Byungsoo Kim

Senior Software Engineer | Simulation Technology, NVIDIA

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I am currently a Senior Software Engineer at NVIDIA. I received my joint PhD from Computer Graphics Lab at ETH Zurich and Disney Research, under the supervision of Prof. Dr. Markus Gross and Dr. Barbara Solenthaler. My research interests span machine learning for physics-based simulation and visual computing.

Publications

  1. Implicit Neural Representation for Physics-Driven Actuated Soft Bodies
    Lingchen Yang, Byungsoo Kim, Gaspard Zoss, and 3 more authors
    ACM Trans. Graph. (Proc. SIGGRAPH), Jul 2022. (Honorable Mention)
  2. Deep Reconstruction of 3D Smoke Densities from Artist Sketches
    Byungsoo Kim, Xingchang Huang, Laura Wuelfroth, and 4 more authors
    Computer Graphics Forum (Proc. EUROGRAPHICS), May 2022.
  3. Deep Learning Speeds Up Ice Flow Modelling by Several Orders of Magnitude
    Guillaume Jouvet, Guillaume Cordonnier, Byungsoo Kim, and 3 more authors
    Journal of Glaciology, Dec 2021.
  4. Modeling Electromagnetic Navigation Systems
    Samuel L. Charreyron, Quentin Boehler, Byungsoo Kim, and 3 more authors
    IEEE Transactions on Robotics, Jan 2021.
  5. Data-Driven Methods for Artist-Directed Fluid Simulations
    Byungsoo Kim
    Doctoral Thesis. ETH Zurich. 2020.
  6. Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow
    Steffen Wiewel, Byungsoo Kim, Vinicius C. Azevedo, and 2 more authors
    Computer Graphics Forum (Proc. SCA), Nov 2020.
  7. Lagrangian Neural Style Transfer for Fluids
    Byungsoo Kim, Vinicius C. Azevedo, Markus Gross, and 1 more author
    ACM Trans. Graph. (Proc. SIGGRAPH), Jul 2020.
  8. Neural Smoke Stylization with Color Transfer
    Fabienne Christen, Byungsoo Kim, Vinicius C. Azevedo, and 1 more author
    In Eurographics 2020 - Short Papers, May 2020.
  9. Frequency-Aware Reconstruction of Fluid Simulations with Generative Networks
    Simon Biland, Vinicius C. Azevedo, Byungsoo Kim, and 1 more author
    In Eurographics 2020 - Short Papers, May 2020.
  10. Transport-Based Neural Style Transfer for Smoke Simulations
    Byungsoo Kim, Vinicius C. Azevedo, Markus Gross, and 1 more author
    ACM Trans. Graph. (Proc. SIGGRAPH Asia), Nov 2019.
  11. Robust Reference Frame Extraction from Unsteady 2D Vector Fields with Convolutional Neural Networks
    Byungsoo Kim, and Tobias Günther
    Computer Graphics Forum (Proc. EUROVIS), Jul 2019.
  12. Deep Fluids: A Generative Network for Parameterized Fluid Simulations
    Byungsoo Kim, Vinicius C. Azevedo, Nils Thuerey, and 3 more authors
    Computer Graphics Forum (Proc. EUROGRAPHICS), Jun 2019.
  13. Semantic Segmentation for Line Drawing Vectorization Using Neural Networks
    Byungsoo Kim, Oliver Wang, A. Cengiz Öztireli, and 1 more author
    Computer Graphics Forum (Proc. EUROGRAPHICS), May 2018.
  14. Learning Structured Representations for Geometry
    Byungsoo Kim
    Master Thesis. ETH Zurich. 2016.
  15. Previous Works
    Byungsoo Kim
    2008 - 2014.