[ECCV 2024] The official repo for "SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders"
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Updated
Jul 19, 2024 - Python
[ECCV 2024] The official repo for "SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders"
Learning alternative disentangled representations using weak labels
Pytorch implementation of Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE paper
Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
Dataset and model for disentangling chat on IRC
Object-Centric Disentangled Mechanisms
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
Official code for Interspeech 2023 paper "Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering"
Time-Lapse Disentanglement With Conditional GANs [SIGGRAPH 2022]
[TPAMI 2023] Code for inference of our TPAMI and ECCV papers on model-guided disentanglement for GANs.
🧶 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
Experiments for understanding disentanglement in VAE latent representations
Official pytorch implementation of "An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild", NeurIPS 2021.
training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation (ICCV 2021)
Spatial Broadcast Decoder implementation in PyTorch on top of Docker.
Improve generalizability of CNN-based vision models to downstream tasks by disentangling learned representation space dimensions
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