Despite the impressive results of arbitrary image-guided style transfer methods, text-driven
image stylization has recently been proposed for transferring a natural image into a stylized …

Glass surfaces are omnipresent in our daily lives and often go unnoticed by the majority of
us. While humans are generally able to infer their locations and thus avoid collisions, it can …

Diffusion-based text-to-image generation models like GLIDE and DALLE-2 have gained
wide success recently for their superior performance in turning complex text inputs into …

Compared with modification-based steganography, the coverless steganography models
have stronger anti-detection performance. However, the limitations of low embedding …

Weather degraded conditions such as rain, haze, snow, etc. may degrade the performance
of most computer vision systems. Therefore, effective restoration of multi-weather degraded …

Architectural photography is a genre of photography that focuses on capturing a building or
structure in the foreground with dramatic lighting in the background. Inspired by recent …

Deep learning based fusion mechanisms have achieved sophisticated performance in the
field of image fusion. However, most existing approaches focus on learning global and local …

Image style transfer (IST) has drawn broad attention recently. At present, convolutional
neural network (CNN)-based methods and generative adversarial network (GAN)-based …

In this paper, we propose a bidirectional style transfer method by exchanging the style of
inputs while preserving the structural information. The proposed bidirectional style transfer …

To create environmental art on the basis of preserving environmental and ecological
resources, landscape design considers the peaceful coexistence of art and ecology. In …