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
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Unsupervised Speech Decomposition Via Triple Information Bottleneck
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
Pytorch implementation of β-VAE
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" (CVPR 2021 Oral).
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
[ICCV 2023, Official Code] for paper "Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives". Official Weights and Demos provided.
Global Rhythm Style Transfer Without Text Transcriptions
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
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
Neural network parametrized objective to disentangle and transfer style and content in text
[ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"
Disentagnled Graph Collaborative Filtering, SIGIR2020
Official implementation of SpeechSplit2
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