Popular GitHub Repositories for Disentanglement

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Experiments for understanding disentanglement in VAE latent representations

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

To learn and reason like humans, AI must first learn to factorise interpretable representations of independent data generative factors (preferably in an unsupervised manner!!). What does all this mean? Go through this tutorial to get an overview of disentanglement in the context of unsupervised visual disentangled representation learning.

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

Official implementation of VQMIVC: One-shot (any-to-any) Voice Conversion @ Interspeech 2021 + Online playing demo!

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

Codes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Time-Lapse Disentanglement With Conditional GANs [SIGGRAPH 2022]

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

[NeurIPS 2023] Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective

Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion (Interspeech 2022)

Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)

Codes for the paper: "Continual Learning for Text Classification with Information Disentanglement Based Regularization"

Deep Learning for Computer Vision (CommE 5052) in NTU

[ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs

Pytorch Implementation of "Diagonal Attention and Style-based GAN for Content-Style disentanglement in image generation and translation" (ICCV 2021)

Code for GCPR 2020 Oral : "Unsupervised Part Discovery by Unsupervised Disentanglement"