Image Generation Task

Image generation research focuses on creating realistic and diverse images from various inputs, such as text descriptions, sketches, or other images, aiming for greater control and fidelity. Current efforts center on developing unified models, like diffusion models and autoregressive transformers, that handle multiple generation tasks (e.g., text-to-image, image editing, multi-image generation) within a single framework, often incorporating techniques like prompt optimization and multi-modal instruction. This field is significant for its potential to advance computer vision, creative design tools, and multimedia applications, while also pushing the boundaries of generative AI and its underlying algorithms.