Experiments for understanding disentanglement in VAE latent representations

Replicating "Understanding disentangling in β-VAE"

Time-Lapse Disentanglement With Conditional GANs [SIGGRAPH 2022]

🧶 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

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

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

The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)

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

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

Dataset and model for disentangling chat on IRC

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

Official code for Interspeech 2023 paper "Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering"

Official pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.

Unsupervised Deep Disentangled Representation of Single-Cell Omics

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

Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*

Dataset to study disentanglement in the context of symbolic music. Published as an ISMIR'20 paper titled: "dMelodies: A Music Dataset for Disentanglement Learning"

Official pytorch implementation of "An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild", NeurIPS 2021.

[ECCV 2024] The official repo for "SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders"

[TPAMI 2023] Code for inference of our TPAMI and ECCV papers on model-guided disentanglement for GANs.