Invertible Rescaling Networks

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

FrEIA sample code

This contains my pytorch implementation of Glow from OpenAI.

Results of my master thesis. Conditional invertible neural networks in the freia framework were used to dertermine the CO2 concentration using spectra taken by the satellite OCO2.

Code for Transformed Distribution Matching (TDM) for Missing Value Imputation, ICML 2023

Learning inverse kinematics using invertible neural networks and GANs. Research project for "Advanced Deep Learning for Robotics".

Multi-fidelity Generative Deep Learning Turbulent Flows

MintNet: Building Invertible Neural Networks with Masked Convolutions

A python/pytorch package for invertible neural networks

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

[NeurIPS 2022] (Amortized) distributional control for pre-trained generative models

Official repository of "DeepMIH: Deep Invertible Network for Multiple Image Hiding", TPAMI 2022.

Official PyTorch implementation of "HiNet: Deep Image Hiding by Invertible Network" (ICCV 2021)

Constrained optimization toolkit for PyTorch

PyTorch implementation of normalizing flow models