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Source code to our paper: "Learning a Variational Network for Reconstruction of Accelerated MRI Data"
This repository provides software to our publication "Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation", BMVC 2016
GPU-based Total (Generalized) Variation implementation for various applications, with Python and Matlab wrappers.
Total Deep Variation Regularizer
This repository accompanies our ICCP 2017 publication "Real-Time Panoramic Tracking for Event Cameras"
Code for reproducing the results in "Product of Gaussian Mixture Diffusion Models" (https://arxiv.org/abs/2310.12653)
LogSumExp potential and activation
Code for "Stable Deep MRI Reconstruction using Generative Priors" (https://ieeexplore.ieee.org/document/10237244)
OPerator TO any deep learning framework
Implementation of the variational network for denoising.
Extension of tensorflow with additional operators, optimizers,... used at ICG.
A custom modified version of RAFT for the LVVCP project
This library provides a TorchScript compatible Cost-Volume sample operator with additional offset input.
This library provides a TorchScrip compatible padding transpose operator to the padding operator in Pytorch