Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow. - Boris Bonev; Lukas Prantl; Nils Thuerey (CoRR, 2017)

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 002 (CoRR, 2018)

Generating Liquid Simulations with Deformation-aware Neural Networks. - Lukas Prantl; Boris Bonev; Nils Thuerey (ICLR (Poster), 2019)

Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds. - Lukas Prantl; Nuttapong Chentanez; Stefan Jeschke; Nils Thuerey (ICLR, 2020)

Lagrangian Fluid Simulation with Continuous Convolutions. - Benjamin Ummenhofer; Lukas Prantl; Nils Thuerey; Vladlen Koltun (ICLR, 2020)

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)

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 003; Lukas Prantl; Stephan Schreml (Symmetry, 2021)

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. - Lukas Prantl; Benjamin Ummenhofer; Vladlen Koltun; Nils Thuerey (NeurIPS, 2022)

Wavelet-based Loss for High-frequency Interface Dynamics. - Lukas Prantl; Jan Bender; Tassilo Kugelstadt; Nils Thuerey (CoRR, 2022)

Deep Learning Methods for Simulation of Liquids (Deep Learning Methoden für die Simulation von Flüssigkeiten) - Lukas Prantl (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 001; Vanessa Brébant; Lukas Prantl; Christoph Palm (Vis. Comput., 2023)