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.

翻译：本研究探讨了在计算机视觉中利用RGB图像及其对应深度图进行风格迁移的应用。我们提出了一种新方法，通过整合深度图与RGB图像的热力图来生成更逼真的风格迁移结果。与传统神经风格迁移方法相比，我们的方法在生成更真实的色彩与风格方面表现更优。该方法可应用于图像编辑、虚拟现实等多种计算机视觉场景，以提升生成图像的真实感。总之，我们的研究结果表明，在风格迁移中整合RGB图像的深度信息与热力图能够获得更逼真的效果。