Generative Adversarial Text to Image Synthesis

17 May 2016Scott ReedZeynep AkataXinchen YanLajanugen LogeswaranBernt SchieleHonglak Lee

Automatic synthesis of realistic images from text would be interesting and useful, but current AI systems are still far from this goal. However, in recent years generic and powerful recurrent neural network architectures have been developed to learn discriminative text feature representations... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.