BriefGPT.xyz
May, 2016
生成对抗文本到图像的合成
Generative Adversarial Text to Image Synthesis
HTML
PDF
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele...
TL;DR
利用递归神经网络和深度卷积生成对抗网络构建了新的深度架构和GAN公式，将字符转换为像素，有效地将文本和图像建模相结合，从而实现了从详细文本描述中生成花和鸟的逼真图像的能力。
Abstract
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 archi
→