The current development in deep learning is witnessing an exponential transition into
automation applications. This automation transition can provide a promising framework for …

As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon often termed as" …

Learning-based image inpainting methods have made remarkable progress in recent years.
Nevertheless, these methods still suffer from issues such as blurring, artifacts, and …

Image inpainting refers to the task of generating a complete, natural image based on a
partially revealed reference image. Recently, many research interests have been focused on …

Deep-learning-based image inpainting repairs a region with visually believable content,
leaving behind imperceptible traces. Since deep image inpainting approaches can …

The ocean is a crucial component of the Earth's system. It profoundly influences human
activities and plays a critical role in climate regulation. Our understanding has significantly …

Abstract Generative Adversarial Network (GAN) has made great progress in image
inpainting due to its strong generation capability. However, the previous methods based on …

Digitized methodologies in the recent era contribute to various fields of automation that used
to hold different interests and meanings of human life. Buildings with historical significance …

Face inpainting, the technique of restoring missing or damaged regions in facial images, is
pivotal for applications like face recognition in occluded scenarios and image analysis with …

We introduce ReMOVE a novel reference-free metric for assessing object erasure efficacy in
diffusion-based image editing models post-generation. Unlike existing measures such as …