Pytorch implementation of MixNMatch

Experiments for understanding disentanglement in VAE latent representations

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Unsupervised Speech Decomposition Via Triple Information Bottleneck

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

Pytorch implementation of β-VAE

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟

Code for "Image-to-image Translation via Hierarchical Style Disentanglement" (CVPR 2021 Oral).

[ICCV 2023, Official Code] for paper "Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives". Official Weights and Demos provided.

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

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

Global Rhythm Style Transfer Without Text Transcriptions

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

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

Official implementation of SpeechSplit2