A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

🙄 Difficult algorithm, Simple code.

Image Completion with Deep Learning in TensorFlow

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

Reimplementation of GANs

Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

DCGAN image generator 🖼️.

A DCGAN that generate Cat pictures 🐱‍💻

DCGAN face generator 🧑.

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

DCGAN implementation by TensorFlow

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.

Wasserstein DCGAN in Tensorflow/Keras

通过DCGAN生成动漫人物头像

Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

图像修复 python tensorflow DCGAN

Using DCGAN for segmenting brain tumors from brain image scans

Train DCGAN with TPUs on Google Cloud

dcgan,wgan and improved wgan implementation by tensorflow

The respository contains the code for the Deep Convolutional Generative Adversarial Network (DCGAN) trained on the anime faces dataset.

Use DCGAN to create trippy videos

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Study Friendly Implementation of DCGAN in Tensorflow

A short Conditional DCGAN tensorflow implementation.

Tensorflow 2.0 implementation of DCGAN for CelebA dataset

GAN in Tensorflow to be run via Linux command line

We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.