Realization RGBD Image Stylization
This work addresses the problem of improving realism in style transfer for applications like image editing and virtual reality, though it appears incremental.
The paper tackles style transfer in computer vision by incorporating depth maps and heatmaps of RGB images to generate more realistic results, outperforming traditional neural style transfer in producing realistic color and style.
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.