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PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping
March 14, 2024, 4:45 a.m. | Jiafu Chen, Wei Xing, Jiakai Sun, Tianyi Chu, Yiling Huang, Boyan Ji, Lei Zhao, Huaizhong Lin, Haibo Chen, Zhizhong Wang
cs.CV updates on arXiv.org arxiv.org
Abstract: 3D scene stylization refers to transform the appearance of a 3D scene to match a given style image, ensuring that images rendered from different viewpoints exhibit the same style as the given style image, while maintaining the 3D consistency of the stylized scene. Several existing methods have obtained impressive results in stylizing 3D scenes. However, the models proposed by these methods need to be re-trained when applied to a new scene. In other words, their …
abstract arxiv cs.cv image images mapping match prompt style type via
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