Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)

Google Summer of Code 2019 with TensorFlow: Final Work Product

This repository contains code and bonus content which will be added from time to time for the books "Learning Generative Adversarial Network- GAN" and "R Data Analysis Cookbook - 2nd Edition" by Packt

Re-implementation of https://github.com/zsdonghao/text-to-image

StackGAN++ implementation in Tensorflow

Implementation of "なんちゃって" StackGAN model using Keras

Investigating how different loss functions (including Wasserstein loss) affect StackGAN model

Chainer implementation of StackGAN

StackGAN复现

StackGAN++ implemented by tensorflow

Perception.AI is a text-to-image project, in which Attention GAN has been implemented. It takes in image caption as an input, and the GAN model generates a corresponding image. The model has been trained on CUB dataset, and thus is limited to generating bird images as of now. In the future, the project has a wider scope of having a generalized v…

Image Processing Project on Exploring GANs. Here we have explored two different GANs - StackGAN for Text to Image Generation & SGAN for solving class imbalance

In terms of specific text description to generate corresponding images.

It is a Python Tkinter based desktop application that helps to identify criminal using deep learning algorithms based on eye witness information.

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Text to image synthesis using StackGAN

PyTorch implementations of text2image synthesis models (gan-int-cls, StackGAN, StackGAN++) and our proposed model TeleGAN.

EDGAN: StackGAN with Embedding Distance Training