Tubular objects such as test tubes are common in chemistry and life sciences research
laboratories, and robots that can handle them have the potential to accelerate experiments …

Transferring optical tactile skills learned from simulated environments to the real world
benefits many robotic tactile applications, which can reduce the cost of data collection …

Many methods based on data and model analysis have been proposed to overcome the
adverse effect of poses, occlusion, and illumination on face recognition. Frontal face …

Chinese landscape painting has a unique and artistic style, and its drawing technique is
highly abstract in both the use of color and the realistic representation of objects. Previous …

Recent deep learning-based 2D face image colorization techniques demonstrate significant
improvement in colorization accuracy and detail preservation. However, the generation of a …

With the rapid development of Internet and cloud storage, data security sharing and
copyright protection are becoming more and more important. In this paper, we introduce a …

Chinese ink painting, an artistic and cultural treasure, necessitates automatic generation for
its preservation and evolution. We've innovatively observed and validated that the domain …

Artistic portrait drawing (APDrawing) generation has seen progress in recent years.
However, due to the naturally high scarcity and artistry, it is difficult to collect large‐scale …

This research presents a novel methodology for synthesizing 3D multi-contrast MRI images
utilizing the 3D Dual-CycleGAN architecture. The performance of the model is evaluated on …

Image style transfer is an increasingly popular technology that can learn the style of an
existing picture through neural network algorithms and apply this style to another picture. It is …