AI-Driven Stylization of 3D Environments

• URL: http://arxiv.org/abs/2411.06067v1
• Date: Sat, 09 Nov 2024 04:51:17 GMT
• Title: AI-Driven Stylization of 3D Environments
• Authors: Yuanbo Chen, Yixiao Kang, Yukun Song, Cyrus Vachha, Sining Huang,
• Abstract summary: We discuss methods to stylize a scene of 3D primitive objects into a higher fidelity 3D scene using novel 3D representations like NeRFs and 3D Gaussian Splatting. Our approach leverages existing image stylization systems and image-to-3D generative models to create a pipeline that iteratively stylizes and composites 3D objects into scenes.
• Score: 1.1097407843705314
• License:
• Abstract: In this system, we discuss methods to stylize a scene of 3D primitive objects into a higher fidelity 3D scene using novel 3D representations like NeRFs and 3D Gaussian Splatting. Our approach leverages existing image stylization systems and image-to-3D generative models to create a pipeline that iteratively stylizes and composites 3D objects into scenes. We show our results on adding generated objects into a scene and discuss limitations.

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