Generative Image

Generative image models aim to create realistic and novel images from various inputs, such as text prompts, sketches, or existing images, with applications ranging from image editing and completion to 3D asset creation and even interactive game development. Current research heavily utilizes diffusion models and GANs, focusing on improving controllability, realism, and the ability to handle complex tasks like 3D manipulation and outpainting. These advancements are significantly impacting fields like medical imaging (e.g., CT scan reconstruction), computer graphics, and interactive entertainment by enabling more efficient and creative image generation and manipulation.