Recently, realistic image generation using deep neural networks has become a hot topic in machine learning and computer vision. Such an image can be generated at pixel level by learning from a large collection of images. Learning to generate colorful cartoon images from black-and-white sketches is not only an interesting research problem, but al…

Pytorch implementation for reproducing AttnGAN results in the paper AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks by Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He.

Repository for Text2Shape

AttnGAN for the FashionGen Dataset

Simple Tensorflow implementation of "Few-Shot Unsupervised Image-to-Image Translation" (ICCV 2019)

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Bezier AE approach to sketch generation

Chinese handwriting generator via cascaded pix2pix

[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang