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Search results for pytorch disentangled representations

disentangled-representations x

19 search results found

Disentangling Vae ⭐ 668

Experiments for understanding disentanglement in VAE latent representations

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

Mixnmatch ⭐ 427

Pytorch implementation of MixNMatch

Joint Vae ⭐ 384

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟

Beta Vae ⭐ 262

Pytorch implementation of β-VAE

[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics

Finegan ⭐ 203

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

🧶 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

[ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"

Variational Sparse Coding ⭐ 47

Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge

[ECCV 2022 oral] Official PyTorch implementation of the paper "Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors"

Domainintersectiondifference ⭐ 37

Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

Awesome Representation Learning Cv Paperandcode ⭐ 22

Awesome-Representation-Learning-CV-PaperAndCodes, lasted development in the representation learning area.

Linguistic Style Transfer Pytorch ⭐ 16

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

Cs Dismo ⭐ 16

[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)

This is the code repository of model TDGAN. Paper: Facial Expression Recognition with Two-branch Disentangled Generative Adversarial Network.

Infogan Pytorch ⭐ 5

🎨 A PyTorch implementation of InfoGAN.

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