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arXiv · 2404.14967

CoARF: Controllable 3D Artistic Style Transfer for Radiance Fields

Deheng Zhang·Clara Fernandez-Labrador·Christopher Schroers
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Abstract

Creating artistic 3D scenes can be time-consuming and requires specialized knowledge. To address this, recent works such as ARF, use a radiance field-based approach with style constraints to generate 3D scenes that resemble a style image provided by the user. However, these methods lack fine-grained control over the resulting scenes. In this paper, we introduce Controllable Artistic Radiance Fields (CoARF), a novel algorithm for controllable 3D scene stylization. CoARF enables style transfer for specified objects, compositional 3D style transfer and semantic-aware style transfer. We achieve controllability using segmentation masks with different label-dependent loss functions. We also propose a semantic-aware nearest neighbor matching algorithm to improve the style transfer quality. Our extensive experiments demonstrate that CoARF provides user-specified controllability of style transfer and superior style transfer quality with more precise feature matching.

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Deheng Zhang, Clara Fernandez-Labrador, Christopher Schroers. 2024-04-23. CoARF: Controllable 3D Artistic Style Transfer for Radiance Fields. https://arxiv.org/abs/2404.14967

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