disentanglement topic

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily config...

nmichlo

Experiments for understanding disentanglement in VAE latent representations

YannDubs

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

matthewvowels1

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

Schlumberger

Dataset to assess the disentanglement properties of unsupervised learning methods

google-deepmind

Replicating "Understanding disentangling in β-VAE"

miyosuda

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

h3lio5

[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification

bismex

Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation (ICCV 2021)

csyxwei

This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.

vios-s