Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)
-
Updated
Jan 13, 2022 - Python
Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)
Re-implementation of https://github.com/zsdonghao/text-to-image
Google Summer of Code 2019 with TensorFlow: Final Work Product
StackGAN++ implementation in Tensorflow
Chainer implementation of StackGAN
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
In terms of specific text description to generate corresponding images.
Implementation of StackGANs for text-to-image generation in Tensorflow
Investigating how different loss functions (including Wasserstein loss) affect StackGAN model
PyTorch implementations of text2image synthesis models (gan-int-cls, StackGAN, StackGAN++) and our proposed model TeleGAN.
Tensorflow's 2.0 implementation of StackGANv2
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
Add a description, image, and links to the stackgan topic page so that developers can more easily learn about it.
To associate your repository with the stackgan topic, visit your repo's landing page and select "manage topics."