In machine learning, a generative model is responsible for generating new samples of data
in terms of a probabilistic model. Generative adversarial network (GAN) has been widely …

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

Image inpainting is a critical area of research in computer vision with a broad range of
applications, including image restoration and editing. However, current inpainting models …

This paper presents an attention-based, deep learning framework that converts robot
camera frames with dynamic content into static frames to more easily apply simultaneous …

Various convolutional neural networks (CNNs)-based image inpainting techniques have
been actively studied to remove unwanted objects or restore missing parts in recent years …

The ability to perceive environments supports an important foundation for our self-developed
robotic rat to improve kinematic performance and application potential. However, the most …

Urban street view imagery, as crucial forms of spatial data, has a wide range of applications
in map** services, urban 3D reconstruction, and cartography. However, since the …