This repository implements a text-to-image synthesis system using the GAN-CLS algorithm from the paper Generative Adversarial Text-to-Image Synthesis. Text captions are encoded into thought vectors using Skip Thought Vectors, and these representations guide a DCGAN-based generator to synthesize corresponding images. The model was trained on the flowers dataset.