Text-guided image inpainting aims to generate corrupted image patches and obtain a
plausible image based on textual descriptions, considering the relationship between textual …

Steel surface defect detection plays a pivotal role in contemporary society, ensuring quality
and safety in construction and manufacturing, reducing production costs, improving …

Hair editing is challenging due to the complexity and variety of hair materials and shapes.
Existing methods employ reference images or user-painted masks to edit hair and have …

Line art animation colorization aims to colorize a sequence of line art frames with a
reference while ensuring semantic alignment across frames. Recent methods have utilized …

Mural paintings, as the main components of painted cultural relics, have essential research
value and historical significance. Due to their age, murals are easily damaged. Obtaining …

In the realm of advancing AI, the creation of lifelike images from sketches holds significant
intrigue. Our proposed methodology employs Generative Adversarial Networks (GANs) to …

Ancient mural artwork preserves the historical background and cultural customs of that time
through intricate details and bright colors. However, after the natural environment and man …

Generative adversarial network (GAN) is a framework for generating fake data using a set of
real examples. However, GAN is unstable in the training stage. In order to stabilize GANs …

Sketches of painted cultural relics can accurately represent the main content and outline
structure of painted images, providing convenience for researchers studying ancient culture …

Disease labeling is usually the first step to protect and repair mural relics scientifically and
effectively. The most common method for disease labeling at present is manual mapping of …