Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

PyTorch implementation of normalizing flow models

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

A Julia framework for invertible neural networks

Real NVP PyTorch a Minimal Working Example | Normalizing Flow

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Regularized Neural ODEs (RNODE)

Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.

Official implementation of GLARE, which is accpeted by ECCV 2024.

Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.

Official code base of "Perception-Oriented Video Frame Interpolation via Asymmetric Blending" (CVPR 2024), also denoted as ''PerVFI''.

Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging

Distributional Gradient Boosting Machines

PyTorch implementation of the Masked Autoregressive Flow

Code for "Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization", CVPR 2022.

A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator

Pytorch implementation of Planar Flow

Unsplash2K dataset: 2K resolution high quality images

A minimal working example of Free-Form Jacobian of Reversible Dynamics