Abstract Language-guided image editing has achieved great success recently. In this paper,
we investigate exemplar-guided image editing for more precise control. We achieve this …

Incorporating scientific research into clinical practice via clinical informatics, which includes
genomics, proteomics, bioinformatics, and biostatistics, improves patients' treatment …

Text-driven diffusion models have exhibited impressive generative capabilities, enabling
various image editing tasks. In this paper, we propose TF-ICON, a novel Training-Free …

Image matting refers to extracting precise alpha matte from natural images, and it plays a
critical role in various downstream applications, such as image editing. Despite being an ill …

Given a composite image, image harmonization aims to adjust the foreground to make it
compatible with the background. High-resolution image harmonization is in high demand …

In this paper, we present a Neural Preset technique to address the limitations of existing
color style transfer methods, including visual artifacts, vast memory requirement, and slow …

Learning-based image harmonization techniques are usually trained to undo synthetic
global transformations, applied to a masked foreground in a single ground truth photo. This …

The goal of image harmonization is adjusting the foreground appearance in a composite
image to make the whole image harmonious. To construct paired training images, existing …

Subject-driven image generation aims at generating images containing customized
subjects, which has recently drawn enormous attention from the research community …

Recent rapid advancements in the coal industry have led to the development of intelligent
visual coal-gangue sorting. Combining deep learning and machine vision can effectively …