463 Open source projects that are alternatives of or similar to keras-text-to-image

Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized

A Survey on Text-to-Image Generation/Synthesis.

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

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

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

Semantic Image Inpainting

GAN in Tensorflow to be run via Linux command line

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

Chainer implementation of recent GAN variants

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

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

DCGAN image generator 🖼️.

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

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

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

Improving MMD-GAN training with repulsive loss function

Awesome Generative Adversarial Networks with tensorflow

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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..

The Simplest DCGAN Implementation

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

Interactive Image Generation via Generative Adversarial Networks

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

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

Image-to-image translation with conditional adversarial nets

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Implementation of Conditional Generative Adversarial Networks in PyTorch

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Synthetic Data Generation for mixed-type, multivariate time series.

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

🤖A list of resources to help anyone getting started with GANs 🤖

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

An NLP text to vizualization builder for Tableau.

Path Planning using Generative Adversarial Network (GAN)

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)

🐳 GAN implemented as Tensorflow 2.X

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Benchmarking synthetic data generation methods.

Pure tensorflow implementation of progressive growing of GANs

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

No description or website provided.

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

Tensorflow implementation of paper "unsupervised image to image translation networks"

3D-aware GANs based on NeRF (arXiv).

Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

No description or website provided.

Unofficial pytorch implementation of algorithms for domain adaptation

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

CycleGAN based neural network architecture to change the gender of a person’s face

Tensorflow-based framework to ease training of generative models