Introduction

To make text-to-image (T2I) easy（方便灌水）, this repository provide a collection of image models, training / validation scripts that aim to pull together a wide variety of T2I models. We provide simple demos, and experimental experiences from volunteers. 还有一个CCF B~C的相关中英文期刊会议列表

Simple Demos

Demo 1 Demo 2

A Comprehensive Survey

Awesome-Text-to-Image Click here

Repoduced-Results-of-text-to-image-models

We would like to maintain a list of repoduced results of text-to-image models. Please feel free to [open an issue]to add your results.

Submit your results as a new issue and volunteers will add them to the summary list.

The results of each person matters. You are encouraged to submit your results and join us to help more people.

Click here to submit

The submission formate is defined in Submission Example. If you have more than one result, submit them in a single issue and summurize them in the title.

Summary sheets

In this sheet, we report the best reproduced results.

Paper	Method	Conference	Code	IS(bird)	FID(bird)	IS(COCO)	FID(COCO)	IS(flower)	FID(flower)
[DF-GAN]()	GAN	CVPR	Pytorch	5.10	14.81	-	19.32	-	-
[stack-GAN]()	GAN	CVPR	Pytorch	3.70±.07	51.89	8.45±.03	74.05	3.20±.01	55.28
[LAFITE]()	GAN	arxiv	Pytorch	-	9.25	-	-	-	-
[stack++]()	GAN	Tpami	Pytorch	4.04±.05	15.30	8.30±.10	81.59	3.26±.01	48.68
[DCGAN]()	GAN	ICML	Pytorch	-	-	-	-	-	-
[RAT-GAN]()	GAN	arxiv	Pytorch	5.36±.20	13.91	-	14.60	4.09	-

In this sheet, we summarize the original results in the paper.

Paper	Method	Conference	Code	IS(bird)	FID(bird)	IS(COCO)	FID(COCO)	IS(flower)	FID(flower)
[DF-GAN]()	GAN	CVPR	Pytorch	5.10	14.81	-	19.32	-	-
[stack-GAN]()	GAN	CVPR	Pytorch	3.70±.07	51.89	8.45±.03	74.05	3.20±.01	55.28
[LAFITE]()	GAN	arxiv	Pytorch	-	9.25	-	-	-	-
[stack++]()	GAN	Tpami	Pytorch	4.04±.05	15.30	8.30±.10	81.59	3.26±.01	48.68
[DCGAN]()	GAN	ICML	Pytorch	-	-	-	-	-	-
[RAT-GAN]()	GAN	arxiv	Pytorch	5.36±.20	13.91	-	14.60	4.09	-