Abstract
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.
Abstract (translated)
这篇研究论文探讨了在计算机视觉中使用RGB图像及其对应深度图的风格转移应用。我们提出了一种新方法，将深度图和RGB图像的热力图集成起来，以生成更加真实的风格转移结果。我们比较了我们的方法和传统的神经网络风格转移方法，并发现我们的方法在生成更加真实的颜色和风格方面表现更好。该方法可以应用于各种计算机视觉应用程序，例如图像编辑和虚拟现实，以改善生成图像的逼真度。总的来说，我们的研究结果展示了在风格转移中集成深度信息和RGB图像热图以获得更加逼真结果的潜力。
URL
https://arxiv.org/abs/2305.06565
