Awesome Text to Image Synthesis

If you have any problems, suggestions or improvements, please submit the issue or PR.

Datasets

[DM-GAN] DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis (CVPR2019) [paper]
[MSGAN] Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019) [paper] [code]
[MirrorGAN] MirrorGAN: Learning Text-to-image Generation by Redescription (CVPR2019) [paper] [code]
[Obj-GAN] Object-driven Text-to-Image Synthesis via Adversarial Training (CVPR2019) [paper] [code]
[SD-GAN] Semantics Disentangling for Text-to-Image Generation (CVPR2019) [paper] [code]

[StackGAN++] StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks (T-PAMI) [paper] [code]
[AttnGAN] AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks (CVPR2018) [paper] [code]
[DA-GAN] DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials) (CVPR2018) [[paper] [code]
[HD-GAN] Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network (CVPR2018) [paper] [code]

[StackGAN] StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks (ICCV2017) [paper] [code]
[PPGAN] Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space (CVPR2017) [paper]

[GAN-INT-CLS] Generative Adversarial Text to Image Synthesis (ICML2016) [paper] [code]
[GAWWN] Learning What and Where to Draw (NIPS2016) [paper] [code]