Text to Image Generator

Text-to-image generators synthesize images from textual descriptions, aiming to bridge the gap between human language and visual representation. Current research focuses on improving generation speed and quality through techniques like score distillation and classifier-free guidance within diffusion models, as well as exploring methods for training-free model customization and 3D scene generation. These advancements are impacting various fields, including art, design, and communication, while also raising important ethical considerations regarding bias and cultural representation in generated outputs.