torchvtk
torchvtk is a PyTorch-based framework for efficient loading, caching and transformation of volumetric data, addressing common challenges like IO bottlenecks. I started this project with a colleague and used it for my research. The project is no longer in development as many alternatives emerged in the recent years.
Dominik Engel
PhD Student at Ulm University
My research interests are in deep learning on visual data, for computer graphics and self-supervised learning
