Software
 | We take open-source seriously, which is why you will find code for our newest papers on our Github account | |
 | TDV. Total Deep Variation Regularizer | Code Paper Paper |
 | bp-layers. Code for the Paper 'Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems' | Code Paper |
 | optox. OPerator TO any deep learning framework | Code |
 | PGMO Lecture of Thomas Pock on Vision, Optimization and Learning. Contains Jupyter Notebooks with code for several imaging problems | Code |
| Tensorflow ICG. The repository contains newly developed features such as custom operators, functions and classes | Code |
| Primal-Dual Toolbox. C++/Cuda implementation of various TV and second-order TGV problems | Code Paper |
 | Tensorflow code for our paper Learning a Variational Network for Reconstruction of Accelerated MRI Data | |
 | Tensorflow code for our paper Variational Networks: Connecting Variational Methods and Deep Learning and Chen Yunjin's work On learning optimized reaction diffusion processes for effective image restoration | |
 | Code for our paper End-to-End Training of Hybrid CNN-CRF Models for Stereo | Code |
 | Image Utilities. The basis for most of our high-performance CUDA implementations | Code |
 | Code for our paper Real-Time Panoramic Tracking for Event Cameras | Code |
 | Code for the automatic calibration of event cameras using MATLAB | Code |
 | Code for our paper Real-Time Intensity Image Reconstruction for Event Cameras using Manifold Regularisation | Code Paper |
 | Code for our paper Joint Demosaicing and Denoising Based on Sequential Energy Minimization | Code Paper |
 | Code for our paper Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo | |
