| Deep fluids: A generative network for parameterized fluid simulations B Kim, VC Azevedo, N Thuerey, T Kim, M Gross, B Solenthaler Computer graphics forum 38 (2), 59-70, 2019 | 473 | 2019 |
| Transport-based neural style transfer for smoke simulations B Kim, VC Azevedo, M Gross, B Solenthaler arXiv preprint arXiv:1905.07442, 2019 | 52 | 2019 |
| Lagrangian neural style transfer for fluids B Kim, VC Azevedo, M Gross, B Solenthaler ACM Transactions on Graphics (TOG) 39 (4), 52: 1-52: 10, 2020 | 48 | 2020 |
| Latent space subdivision: stable and controllable time predictions for fluid flow S Wiewel, B Kim, VC Azevedo, B Solenthaler, N Thuerey Computer Graphics Forum 39 (8), 15-25, 2020 | 41 | 2020 |
| Preserving geometry and topology for fluid flows with thin obstacles and narrow gaps VC Azevedo, C Batty, MM Oliveira ACM Transactions on Graphics (TOG) 35 (4), 1-12, 2016 | 34 | 2016 |
| An extended cut-cell method for sub-grid liquids tracking with surface tension YL Chen, J Meier, B Solenthaler, VC Azevedo ACM Transactions on Graphics (TOG) 39 (6), 1-13, 2020 | 16 | 2020 |
| Frequency-aware reconstruction of fluid simulations with generative networks S Biland, VC Azevedo, B Kim, B Solenthaler arXiv preprint arXiv:1912.08776, 2019 | 15 | 2019 |
| Efficient smoke simulation on curvilinear grids VC Azevedo, MM Oliveira Computer Graphics Forum 32 (7), 235-244, 2013 | 12 | 2013 |
| Efficient Neural Style Transfer for Volumetric Simulations J Aurand, R Ortiz, S Nauer, VC Azevedo ACM Transactions on Graphics (TOG) 41 (6), 1-10, 2022 | 11 | 2022 |
| Curl-flow: boundary-respecting pointwise incompressible velocity interpolation for grid-based fluids J Chang, R Partono, VC Azevedo, C Batty arXiv preprint arXiv:2104.00867, 2021 | 9 | 2021 |
| Neural smoke stylization with color transfer F Christen, B Kim, VC Azevedo, B Solenthaler arXiv preprint arXiv:1912.08757, 2019 | 9 | 2019 |
| Neural Green’s function for Laplacian systems J Tang, VC Azevedo, G Cordonnier, B Solenthaler Computers & Graphics 107, 186-196, 2022 | 7 | 2022 |
| A physics-aware neural network approach for flow data reconstruction from satellite observations L Schweri, S Foucher, J Tang, VC Azevedo, T Günther, B Solenthaler Frontiers in Climate 3, 656505, 2021 | 7 | 2021 |
| Neuronal Editor Agent for Game Cinematography E Passos, A Montenegro, V Azevedo, V Apolinario, C Pozzer, EWG Clua Proceedings of the VII Games and Digital Entertainment Symposium. Belo …, 2008 | 4 | 2008 |
| How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models P Chang, J Tang, M Gross, VC Azevedo The Twelfth International Conference on Learning Representations, 2024 | 2 | 2024 |
| Singed Silhouettes and Feed Forward Flames: Volumetric Neural Style Transfer for Expressive Fire Simulation P Kanyuk, V Azevedo, R Ortiz, J Tang ACM SIGGRAPH 2023 Talks, 1-2, 2023 | 2 | 2023 |
| Physics‐Informed Neural Corrector for Deformation‐based Fluid Control J Tang, B Kim, VC Azevedo, B Solenthaler Computer Graphics Forum 42 (2), 161-173, 2023 | 2 | 2023 |
| Divergence-free and boundary-respecting velocity interpolation using stream functions J Chang, VC Azevedo, C Batty Proceedings of the 18th Annual ACM SIGGRAPH/Eurographics Symposium on …, 2019 | 2 | 2019 |
| Creating a Director for an Interactive Storytelling System VC de Azevedo, CT Pozzer VI Brazilian Symposium on Computer Games and Digital Entertainment, 1, 2007 | 2 | 2007 |
| Controllable Neural Style Transfer for Dynamic Meshes G Gomes Haetinger, J Tang, R Ortiz, P Kanyuk, V Azevedo ACM SIGGRAPH 2024 Conference Papers, 1-11, 2024 | | 2024 |
