AI-Driven Stylization of 3D Environments
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866917832781987840 |
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| author | Chen, Yuanbo Kang, Yixiao Song, Yukun Vachha, Cyrus Huang, Sining |
| author_facet | Chen, Yuanbo Kang, Yixiao Song, Yukun Vachha, Cyrus Huang, Sining |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_06067 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AI-Driven Stylization of 3D Environments Chen, Yuanbo Kang, Yixiao Song, Yukun Vachha, Cyrus Huang, Sining Computer Vision and Pattern Recognition Graphics 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. |
| title | AI-Driven Stylization of 3D Environments |
| topic | Computer Vision and Pattern Recognition Graphics |
| url | https://arxiv.org/abs/2411.06067 |