ima-vae

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

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

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

Fusion ICA Toolbox (MATLAB)

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

Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).

Matching in GAN latent space for better bias benchmarking and semantic image editing. ??????‍???‍♂️??

Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)

Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts