S2RF: Semantically Stylized Radiance Fields

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...

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Veröffentlicht in:arXiv.org 2023-09
Hauptverfasser: Lahiri, Dishani, Panse, Neeraj, Kumar, Moneish
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:2331-8422