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[arXiv]
[bibtex]@InProceedings{Kumar_2023_ICCV, author = {Kumar, Moneish and Panse, Neeraj and Lahiri, Dishani}, title = {S2RF: Semantically Stylized Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {2952-2957} }
S2RF: Semantically Stylized Radiance Fields
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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