Experiments for understanding disentanglement in VAE latent representations
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Updated
Feb 2, 2023 - Python
Experiments for understanding disentanglement in VAE latent representations
Replicating "Understanding disentangling in β-VAE"
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
🧶 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
Dataset and model for disentangling chat on IRC
The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
Time-Lapse Disentanglement With Conditional GANs [SIGGRAPH 2022]
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation (ICCV 2021)
Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)
[ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
Official pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.
Official pytorch implementation of "An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild", NeurIPS 2021.
Dataset to study disentanglement in the context of symbolic music. Published as an ISMIR'20 paper titled: "dMelodies: A Music Dataset for Disentanglement Learning"
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"
PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).
Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*
Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"
Official pytorch re-implementation of "Demystifying Inter-Class Disentanglement", ICLR 2020.
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