Highly productive OpenGL prototyping and teaching framework
Attempted improvement of the CSGNet framework for my Master's thesis.
CSGNet takes as input a 2D/3D shape and uses Deep Learning to output a CSG program generating that shape.
Tags: Neural Nets, Reinforcement Learning, Monte Carlo Tree Search
Code for the paper "A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization"
Master Thesis, SS19, Jan Schnathmeier
Python library for visualizing meshes, point clouds, and other geometry in Jupyter notebooks
Fork of https://github.com/avaxman/Directional.git
Python bindings for OpenMesh
Implementation of "Multi-label Triplet Embeddings for Image Annotation from User-Generated Tags"
Library to operate a drone equipped with an on-board Raspberry Pi.
"Shape Generation utilizing Octrees with Self-Attention Networks" and "Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences"