Vision, Learning and Optimization Group (VLOGroup)

Vision, Learning and Optimization Group

VLOGroup

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Home Page:https://www.tugraz.at/institute/icg/teams/team-pock/

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Vision, Learning and Optimization Group's repositories

mri-variationalnetwork

Source code to our paper: "Learning a Variational Network for Reconstruction of Accelerated MRI Data"

Language:PythonLicense:MITStargazers:143Issues:14Issues:11

dvs-reconstruction

This repository provides software to our publication "Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation", BMVC 2016

Language:C++License:LGPL-3.0Stargazers:54Issues:7Issues:16

primal-dual-toolbox

GPU-based Total (Generalized) Variation implementation for various applications, with Python and Matlab wrappers.

Language:C++License:LGPL-3.0Stargazers:53Issues:7Issues:1

tdv

Total Deep Variation Regularizer

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dvs-panotracking

This repository accompanies our ICCP 2017 publication "Real-Time Panoramic Tracking for Event Cameras"

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joint-demosaicing-denoising-sem

Demo Code for the paper "Joint Demosaicing and Denoising Based on Sequential Energy Minimization"

Language:PythonLicense:GPL-3.0Stargazers:21Issues:6Issues:0

bp-layers

Code for the Paper: Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems

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denoising-variationalnetwork

Implementation of the variational network for denoising.

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tensorflow-icg

Extension of tensorflow with additional operators, optimizers,... used at ICG.

Language:C++License:Apache-2.0Stargazers:16Issues:9Issues:3

dvs-calibration

Automatic Camera Calibration for DVS cameras

optox

OPerator TO any deep learning framework

Language:C++License:MITStargazers:11Issues:6Issues:1

surface-area-regularization

This repository contains a python implementation of our method "Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo", CVPR 2015

pgmo-lecture

PGMO Lecture of Thomas Pock on Vision, Optimization and Learning

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stable-deep-mri

Code for "Stable Deep MRI Reconstruction using Generative Priors" (https://ieeexplore.ieee.org/document/10237244)

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PoGMDM

Code for reproducing the results in "Product of Gaussian Mixture Diffusion Models" (https://link.springer.com/article/10.1007/s10851-024-01180-3)

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bigger-isnt-always-better

Official Repository of GCPR 2024 Paper "Bigger Isn't Always Better"

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Op_pad2d_gh

This library provides a TorchScrip compatible padding transpose operator to the padding operator in Pytorch

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logsumexp

LogSumExp potential and activation

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LVVCP_Op_sample_cv

This library provides a TorchScript compatible Cost-Volume sample operator with additional offset input.

Language:PythonLicense:MITStargazers:0Issues:4Issues:0

LVVCP_RAFT_custom

A custom modified version of RAFT for the LVVCP project

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