Annotation tools are an essential component in the creation of datasets for machine learning
purposes. Annotation tools have evolved greatly since the turn of the century, and now …

The integration of generative AI in visual art has revolutionized not only how visual content is
created but also how AI interacts with and reflects the underlying domain knowledge. This …

Synthesizing images from descriptive text is an exciting and challenging task in multimodal
deep learning, which has broad prospects of application in the fields of visual reasoning …

Generative artificial intelligence (AI) is widely recognized as one of the most influential
technologies for the future, having sparked a paradigm shift in scientific research. The field …

Evaluating the quality of automatically generated image descriptions is a complex task that
requires metrics capturing various dimensions, such as grammaticality, coverage, accuracy …

Hypergraphs serve as an effective model for depicting complex connections in various real-
world scenarios, from social to biological networks. The development of Hypergraph Neural …

This paper explores the image synthesis capabilities of GPT-4, a leading multi-modal large
language model. We establish a benchmark for evaluating the fidelity of texture features in …

The task of text-to-image generation has encountered significant challenges when applied
to literary works, especially poetry. Poems are a distinct form of literature, with meanings that …

How to migrate text-to-image models based on pre-trained diffusion models to adapt them to
domain generation tasks is a common problem. In particular, the generation task for Chinese …

One branch of important digital humanities research focuses on the study of poetry and
verse, leveraging large corpora to reveal patterns and trends. However, this work is limited …