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FrEIA
Framework for Easily Invertible ArchitecturesControlNet-XS
ngransac
Neural-Guided RANSAC for Estimating Epipolar Geometry from Sparse CorrespondencesLessMore
Learning Less is More - 6D Camera Localization via 3D Surface Regressiondsacstar
DSAC* for Visual Camera Re-Localization (RGB or RGB-D)DSACLine
Differentiable RANSAC: Learning Robust Line Fittingconditional_INNs
Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)analyzing_inverse_problems
Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)esac
ESAC - Expert Sample Consensus Applied To Camera Re-Localizationngdsac_camreloc
Neural-Guided, Differentiable RANSAC for Camera Re-Localization (NG-DSAC++)IB-INN
Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)FFF
Free-form flows are a generative model training a pair of neural networks via maximum likelihoodngdsac_horizon
Neural-Guided, Differentiable RANSAC for Horizon Line EstimationGIN
Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)HINT
Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".trustworthy_GCs
Materials for the paper https://arxiv.org/pdf/2007.15036.pdf3dcv-students
Exercises for the lecture "Computer Vision: 3D Reconstruction"inn_toy_data
Code for artificial toy data sets used to evaluate (conditional) invertible neural networks and related methodsML-Tutorial
Introduction to Machine Learning using scikit-learn and PyTorchgmbench
Code for βA Comparative Study of Graph Matching Algorithms in Computer Visonβ (ECCV 2022)MLAE
Maximum Likelihood Training of Autoencoderslibct
A fast approximate primal-dual solver for tracking-by-assignment cell-tracking problemslibmpopt
Library for Message Passing Optimization Techniquescombilp
Exact MAP-Inference by Confining Combinatorial Search with LP RelaxationGaussianization-Bound
Code to paper "On the Convergence Rate of Gaussianization with Random Rotations"Love Open Source and this site? Check out how you can help us