#计算机科学#[CVPR2020] Adversarial Latent Autoencoders
#人脸识别#A large-scale face dataset for face parsing, recognition, generation and editing.
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
#计算机科学#Experiments for understanding disentanglement in VAE latent representations
Pytorch implementation of β-VAE
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
Simple Implementation of many GAN models with PyTorch.
#计算机科学#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)
Get started with CelebA-HQ dataset in under 5 mins !
#计算机科学#MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
Modified h5tool.py make user getting celeba-HQ easier
Tensorflow implementation of different GANs and their comparisions
#计算机科学#Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)