Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
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Dec 8, 2022 - Jupyter Notebook
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normalizing-flow
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PyTorch implementation of normalizing flow models
pytorch variational-inference density-estimation invertible-neural-networks variational-autoencoder glow normalizing-flo
10000
w real-nvp residual-flow neural-spline-flow
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Aug 25, 2024 - Python
Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
flow super-resolution image-super-resolution normalizing-flow iccv2021 image-rescaling face-image-super-resolution image-sr
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Sep 29, 2021 - Python
A Julia framework for invertible neural networks
machine-learning deep-learning julia julia-language bayesian-inference normalizing-flows invertible-neural-networks normalizing-flow deep-invertible-networks invertible-1x1-convolutions
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Feb 1, 2025 - Julia
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
generative-model energy-based-model porous-media-flow normalizing-flow physics-constrained reverse-kld
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Oct 18, 2019 - Python
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
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Nov 6, 2020 - Jupyter Notebook
Official implementation of GLARE, which is accpeted by ECCV 2024.
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Jan 1, 2025 - Python
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
computer-vision generative-model representation-learning sparse-coding hierarchical-models renormalization-group normalizing-flow
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Aug 22, 2022 - Python
Regularized Neural ODEs (RNODE)
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Jul 16, 2021 - Python
Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.
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Oct 2, 2019 - Python
Official code base of "Perception-Oriented Video Frame Interpolation via Asymmetric Blending" (CVPR 2024), also denoted as ''PerVFI''.
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Jan 11, 2025 - Python
Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
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Mar 11, 2024 - Python
Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
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Apr 28, 2022 - Jupyter Notebook
Distributional Gradient Boosting Machines
machine-learning xgboost lightgbm decision-trees quantile-estimation uncertainty-quantification gradient-boosting probabilistic-modeling normalizing-flow distributional-regression
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Dec 13, 2022
PyTorch implementation of the Masked Autoregressive Flow
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Jan 21, 2021 - Python
Code for "Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization", CVPR 2022.
machine-learning computer-vision deep-learning artificial-intelligence image-colorization cvpr colorization automatic-colorization u-net normalizing-flow continuous-normalizing-flows sketch-colorization conditional-normalizing-flows cvpr2022
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Jun 28, 2022 - Python
A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
learned-database query-optimization unsupervised-learning cardinality-estimation density-estimation normalizing-flow deep-generative-model learned-database-components
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Oct 5, 2023 - Python
Pytorch implementation of Planar Flow
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Dec 2, 2019 - Jupyter Notebook
Unsplash2K dataset: 2K resolution high quality images
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Apr 13, 2021
A minimal working example of Free-Form Jacobian of Reversible Dynamics
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Dec 24, 2019 - Python
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