PicMaker: A Text to Image Converter

PicMaker introduces a pioneering framework for generating images from text, focusing on the CUB (Caltech-UCSD Birds) dataset and the AttnGAN (Attention Generative Adversarial Network) model. By utilizing the detailed annotations and varied bird images in CUB, the framework excels in producing high-quality bird images based on textual descriptions. Tailoring AttnGAN specifically for the CUB dataset enhances image quality, coherence, and diversity significantly. Through extensive experimentation and evaluation, PicMaker proves its efficacy in creating lifelike bird images from text. The assessment comprises quantitative and qualitative analysis, comparing the generated images with ground truth images and existing futuristic methods to assess their standard and realism.