This paper investigates the direct risks and harms associated with modern text-to-image
generative models, such as DALL-E and Midjourney, through a comprehensive literature …

The recent exponential growth of metaverse technology has been instrumental in resha**
a myriad of sectors, not least digital healthcare. This comprehensive review critically …

This survey reviews text-to-image diffusion models in the context that diffusion models have
emerged to be popular for a wide range of generative tasks. As a self-contained work, this …

Despite thousands of researchers, engineers, and artists actively working on improving text-
to-image generation models, systems often fail to produce images that accurately align with …

Vision transformers have become popular as a possible substitute to convolutional neural
networks (CNNs) for a variety of computer vision applications. These transformers, with their …

With the rapid advancements of the text-to-image generative model, AI-generated images
(AGIs) have been widely applied to entertainment, education, social media, etc. However …

As information exists in various modalities in real world, effective interaction and fusion
among multimodal information plays a key role for the creation and perception of multimodal …

Recently, DALL-E, a multimodal transformer language model, and its variants including
diffusion models have shown high-quality text-to-image generation capabilities. However …

CLIPDraw is an algorithm that synthesizes novel drawings from natural language input. It
does not require any additional training; rather, a pre-trained CLIP language-image encoder …

Diffusion models (DMs) have disrupted the image super-resolution (SR) field and further
closed the gap between image quality and human perceptual preferences. They are easy to …