I2T2I: Learning Text to Image Synthesis with Textual Data Augmentation

Understand

Translating information between text and image is a fundamental problem in artificial intelligence that connects natural language processing and computer vision.

• In the past few years, performance in image caption generation has seen significant improvement through the adoption of recurrent neural networks (RNN).
• Meanwhile, text-to-image generation begun to generate plausible images using datasets of specific categories like birds and flowers.
• We've even seen image generation from multi-category datasets such as the Microsoft Common Objects in Context (MSCOCO) through the use of generative adversarial networks (GANs).