S2RF: Semantically Stylized Radiance Fields

• URL: http://arxiv.org/abs/2309.01252v1
• Date: Sun, 3 Sep 2023 19:32:49 GMT
• Title: S2RF: Semantically Stylized Radiance Fields
• Authors: Dishani Lahiri, Neeraj Panse, Moneish Kumar
• Abstract summary: We present our method for transferring style from any arbitrary image(s) to object(s) within a 3D scene. Our primary objective is to offer more control in 3D scene stylization, facilitating the creation of customizable and stylized scene images from arbitrary viewpoints.
• Score: 1.243080988483032
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present our method for transferring style from any arbitrary image(s) to object(s) within a 3D scene. Our primary objective is to offer more control in 3D scene stylization, facilitating the creation of customizable and stylized scene images from arbitrary viewpoints. To achieve this, we propose a novel approach that incorporates nearest neighborhood-based loss, allowing for flexible 3D scene reconstruction while effectively capturing intricate style details and ensuring multi-view consistency.

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