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3dcv-students

Exercises for the lecture "Computer Vision: 3D Reconstruction"

analyzing_inverse_problems

Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)

combilp

Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation

conditional_inns

Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)

controlnet-xs

coupling-flow-bound

coupling-universality

dsacline

Differentiable RANSAC: Learning Robust Line Fitting

dsacstar

DSAC* for Visual Camera Re-Localization (RGB or RGB-D)

esac

ESAC - Expert Sample Consensus Applied To Camera Re-Localization

fff

Free-form flows are a generative model training a pair of neural networks via maximum likelihood

freia

Framework for Easily Invertible Architectures

freia-community

Community-driven effort to improve and extend FrEIA

gaussianization-bound

Code to paper "On the Convergence Rate of Gaussianization with Random Rotations"

gin

Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)

gmbench

Code for “A Comparative Study of Graph Matching Algorithms in Computer Vison” (ECCV 2022)

hint

Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".

ib-inn

Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)

inn_toy_data

Code for artificial toy data sets used to evaluate (conditional) invertible neural networks and related methods

lessmore

Learning Less is More - 6D Camera Localization via 3D Surface Regression

libct

A fast approximate primal-dual solver for tracking-by-assignment cell-tracking problems

libmpopt

Library for Message Passing Optimization Techniques

ml-tutorial

Introduction to Machine Learning using scikit-learn and PyTorch

mlae

Maximum Likelihood Training of Autoencoders

ngdsac_camreloc

Neural-Guided, Differentiable RANSAC for Camera Re-Localization (NG-DSAC++)

ngdsac_horizon

Neural-Guided, Differentiable RANSAC for Horizon Line Estimation

ngransac

Neural-Guided RANSAC for Estimating Epipolar Geometry from Sparse Correspondences

tkr-graphmatching

Dual decomposition based graph matching solver by Torresani, Kolmogorov and Rother

trustworthy_gcs

Materials for the paper https://arxiv.org/pdf/2007.15036.pdf