Pytorch implementation of MixNMatch
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Updated
Jul 7, 2020 - Python
Pytorch implementation of MixNMatch
Experiments for understanding disentanglement in VAE latent representations
Pytorch implementation of β-VAE
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
Unsupervised Speech Decomposition Via Triple Information Bottleneck
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟
Official pytorch implementation of paper "Image-to-image Translation via Hierarchical Style Disentanglement" (CVPR2021 Oral).
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
Global Rhythm Style Transfer Without Text Transcriptions
Neural network parametrized objective to disentangle and transfer style and content in text
Disentagnled Graph Collaborative Filtering, SIGIR2020
Code release for "Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene"
[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
[ICCV 2023, Official Code] for paper "Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives". Official Weights and Demos provided.
Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
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