Pytorch implementation of MixNMatch

Experiments for understanding disentanglement in VAE latent representations

Unsupervised Speech Decomposition Via Triple Information Bottleneck

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

Pytorch implementation of β-VAE

Official pytorch implementation of paper "Image-to-image Translation via Hierarchical Style Disentanglement" (CVPR2021 Oral).

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

Global Rhythm Style Transfer Without Text Transcriptions

Code release for "Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene"

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Neural network parametrized objective to disentangle and transfer style and content in text

[ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"

Disentagnled Graph Collaborative Filtering, SIGIR2020

Official implementation of SpeechSplit2

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

Disentangled Makeup Transfer with Generative Adversarial Network

Deep active inference agents using Monte-Carlo methods