A Collection of Variational Autoencoders (VAE) in PyTorch.
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Updated
May 6, 2024 - Python
A Collection of Variational Autoencoders (VAE) in PyTorch.
Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes
Variational auto-encoder trained on celebA . All rights reserved.
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
Get started with CelebA-HQ dataset in under 5 mins !
Code and notebooks related to the paper: "Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks" by VanRullen & Reddy, 2019
Variational Autoencoder trained by Feature Perceputal Loss
Who is your doppelgänger and more with Keras face recognition
👦 Human head semantic segmentation
Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset
Apply Thatcher illusion on a set of face photos
Trained an End-to-End model for deblurring of celebrity faces (CelebA).
Facial Attributes,Multi-task Learning
Convolutional autoencoder for encoding/decoding RGB images in TensorFlow with high compression ratio
Code for the paper "Transfer Learning for Facial Attribute Prediction and Clustering" (iSCI 2019)
This repository is related to a project of the Introduction to Numerical Imaging (i.e, Introduction à l'Imagerie Numérique in French), given by the MVA Masters program at ENS-Paris Saclay. It was entirely build from scratch and contains code in PyTorch Lightning to train and then use a neural network for image classification. We used it to creat…
Generative Adversarial Networks in PyTorch
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