| Deep fluids: A generative network for parameterized fluid simulations B Kim, VC Azevedo, N Thuerey, T Kim, M Gross, B Solenthaler Computer Graphics Forum (Proceedings of Eurographics 2019) 38 (2), 59-70, 2019 | 450 | 2019 |
| Semantic Segmentation for Line Drawing Vectorization Using Neural Networks B Kim, O Wang, AC Öztireli, M Gross Computer Graphics Forum (Proceedings of Eurographics 2018) 37 (2), 329-338, 2018 | 61 | 2018 |
| Transport-based neural style transfer for smoke simulations B Kim, VC Azevedo, M Gross, B Solenthaler ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2019) 38 (6), 188, 2019 | 49 | 2019 |
| Lagrangian Neural Style Transfer for Fluids B Kim, VC Azevedo, M Gross, B Solenthaler ACM Transaction on Graphics (Proceedings of SIGGRAPH 2020) 39 (4), 52, 2020 | 46 | 2020 |
| Robust Reference Frame Extraction from Unsteady 2D Vector Fields with Convolutional Neural Networks B Kim, T Günther Computer Graphics Forum (Proceedings of EuroVis 2019) 38 (3), 285-295, 2019 | 45 | 2019 |
| Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow S Wiewel, B Kim, VC Azevedo, B Solenthaler, N Thuerey Computer Graphics Forum (Proceedings of SCA 2020) 39 (8), 15-25, 2020 | 39 | 2020 |
| Three‐dimensional point cloud based sky view factor analysis in complex urban settings SM An, BS Kim, HY Lee, CH Kim, CY Yi, JH Eum, JH Woo International Journal of Climatology 34 (8), 2685-2701, 2014 | 39 | 2014 |
| Deep learning speeds up ice flow modelling by several orders of magnitude G Jouvet, G Cordonnier, B Kim, M Lüthi, A Vieli, A Aschwanden Journal of Glaciology 68 (270), 651-664, 2022 | 30 | 2022 |
| Modeling electromagnetic navigation systems SL Charreyron, Q Boehler, B Kim, C Weibel, C Chautems, BJ Nelson IEEE Transactions on Robotics 37 (4), 1009-1021, 2021 | 26 | 2021 |
| Frequency-Aware Reconstruction of Fluid Simulations with Generative Networks S Biland, VC Azevedo, B Kim, B Solenthaler Eurographics 2020 - Short Papers, 2020 | 15 | 2020 |
| Implicit neural representation for physics-driven actuated soft bodies L Yang, B Kim, G Zoss, B Gözcü, M Gross, B Solenthaler ACM Transactions on Graphics (Proceedings of SIGGRAPH 2022) 41 (4), 1-10, 2022 | 10 | 2022 |
| Deep Reconstruction of 3D Smoke Densities from Artist Sketches B Kim, X Huang, L Wuelfroth, J Tang, G Cordonnier, M Gross, ... Computer Graphics Forum (Proceedings of Eurographics 2022) 41 (2), 97-110, 2022 | 8 | 2022 |
| Neural Smoke Stylization with Color Transfer F Christen, B Kim, VC Azevedo, B Solenthaler Eurographics 2020 - Short Papers, 2020 | 8 | 2020 |
| Geospatial spreadsheets with microscale air quality visualization and synchronization for supporting multiple-scenario visual collaboration SM An, HY Lee, B Kim, CY Yi, JH Eum, JH Woo International Journal of Geographical Information Science 28 (12), 2511-2532, 2014 | 5 | 2014 |
| Learning Structured Representations for Geometry B Kim ETH-Zürich, 2016 | 2 | 2016 |
| Physics-Informed Neural Corrector for Deformation-based Fluid Control J Tang, B Kim, VC Azevedo, B Solenthaler Computer Graphics Forum (Proceedings of Eurographics 2023) 42 (2), 2023 | 1 | 2023 |
| Physics-Informed Machine Learning Model-Based Corrector for Deformation-Based Fluid Control DAV Da Costa, B Kim, B Solenthaler, J Tang US Patent App. 18/237,831, 2024 | | 2024 |
| Data-driven physics-based models with implicit actuations G Zoss, B Gözcü, B Solenthaler, L Yang, BS Kim US Patent App. 18/159,651, 2023 | | 2023 |
| Data-Driven Methods for Artist-Directed Fluid Simulations B Kim ETH Zurich, 2020 | | 2020 |
| Physics-Aware Flow Data Completion Using Neural Inpainting S Foucher, J Tang, VC de Azevedo, B Kim, M Gross, B Solenthaler | | 2019 |
Barbara SolenthalerSenior Researcher, ETH ZurichE-mail confirmado em inf.ethz.ch
