Popular GitHub Repositories for Celeba Hq

A Collection of Variational Autoencoders (VAE) in PyTorch.

[CVPR2020] Adversarial Latent Autoencoders

Using modified BiSeNet for face parsing in PyTorch

A large-scale face dataset for face parsing, recognition, generation and editing.

Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Experiments for understanding disentanglement in VAE latent representations

:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

[ECCV 2022] CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

Simple Implementation of many GAN models with PyTorch.

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes

PyTorch Implementation of DCGAN trained on the CelebA dataset.