Lukas Prantl

According to our database, Lukas Prantl authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans.

Maximilian Weiherer, Andreas Eigenberger, Bernhard Egger, Vanessa Brébant, Lukas Prantl, Christoph Palm

Vis. Comput., April, 2023

Deep Learning Methods for Simulation of Liquids (Deep Learning Methoden für die Simulation von Flüssigkeiten)

Lukas Prantl

PhD thesis, 2023

2022

Wavelet-based Loss for High-frequency Interface Dynamics.

Lukas Prantl, Jan Bender, Tassilo Kugelstadt, Nils Thuerey

CoRR, 2022

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics.

Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Multiple Symmetric Lipomatosis: A Cross-Sectional Study to Investigate Clinical Features and Patients' Quality of Life.

Daniel Schiltz, Karolina Mueller, Christine Ortner, Sebastian Tschernitz, Alexandra Anker, Oliver Felthaus, Julia Schreml, Michael Koller, Lukas Prantl, Stephan Schreml

Symmetry, 2021

Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans.

Maximilian Weiherer, Andreas Eigenberger, Vanessa Brébant, Lukas Prantl, Christoph Palm

CoRR, 2021

2020

Lagrangian Fluid Simulation with Continuous Convolutions.

Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey, Vladlen Koltun

Proceedings of the 8th International Conference on Learning Representations, 2020

Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds.

Lukas Prantl, Nuttapong Chentanez, Stefan Jeschke, Nils Thuerey

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Generating Liquid Simulations with Deformation-aware Neural Networks.

Lukas Prantl, Boris Bonev, Nils Thuerey

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Well, how accurate is it? A Study of Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations.

Nils Thuerey, Konstantin Weissenow, Harshit Mehrotra, Nischal Mainali, Lukas Prantl, Xiangyu Hu

CoRR, 2018

2017

Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow.

Boris Bonev, Lukas Prantl, Nils Thuerey

CoRR, 2017