714 Open source projects that are alternatives of or similar to Dcgan

Interactive Image Generation via Generative Adversarial Networks

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

DCGAN image generator 🖼️.

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Image-to-image translation with conditional adversarial nets

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

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Semantic Image Inpainting

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

Awesome Generative Adversarial Networks with tensorflow

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

GAN in Tensorflow to be run via Linux command line

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

An extremely simple generative adversarial network, built with TensorFlow

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

Simple Implementation of many GAN models with PyTorch.

Invert the color of MNIST images with PyTorch

Everything about Generative Adversarial Networks

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

A collection of arbitrary text to image papers with code (constantly updating)

Collection of generative models in Pytorch version.

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

[CVPR2020] Adversarial Latent Autoencoders

A stable algorithm for GAN training

Keras implementation of 3D Generative Adversarial Network.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Generate text boxes from input words with a GAN.

On the "steerability" of generative adversarial networks

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

Code for GAN2Shape (ICLR2021 oral)

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Image-to-Image Translation in PyTorch

Stochastic Adversarial Video Prediction

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Applied Deep Learning (2019 Spring) @ NTU

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Improving MMD-GAN training with repulsive loss function

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

Study Friendly Implementation of DCGAN in Tensorflow

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

GANs Implementations in Keras

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

Showcasing various fun adventures with GANs

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

基于keras使用dcgan自动生成动漫头像