Realization RGBD Image Stylization
원문 초록
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.
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Multiscale style transfer based on a Laplacian pyramid for traditional Chinese painting
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Balanced Image Stylization with Style Matching Score
The Role of Text-to-Image Models in Advanced Style Transfer Applications: A Case Study with DALL-E 3
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians
토론
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