  This research paper explores the application of style transfer in computer
vision using RGB images and their corresponding depth maps. We propose a novel
method that incorporates the depth map and a heatmap of the RGB image to
generate more realistic style transfer results. We compare our method to the
traditional neural style transfer approach and find that our method outperforms
it in terms of producing more realistic color and style. The proposed method
can be applied to various computer vision applications, such as image editing
and virtual reality, to improve the realism of generated images. Overall, our
findings demonstrate the potential of incorporating depth information and
heatmap of RGB images in style transfer for more realistic results.

Computer Vision and Pattern Recognition;Image and Video Processing