Popular GitHub Repositories for Disentangled

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

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.

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

[SIGGRAPH Asia 2022] IDE-3D: Interactive Disentangled Editing For High-Resolution 3D-aware Portrait Synthesis

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

Code for "MeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing", ECCV 2022 Oral

Global Rhythm Style Transfer Without Text Transcriptions

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

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

Official Pytorch Implementation for "DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion" (AAAI 2024)

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

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

Tensorflow implementation of CVPR 2018 paper "Disentangled Person Image Generation"

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

Official implementation of SpeechSplit2

An implement of Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

? 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