3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting
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arXiv
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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866910461132275712 |
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| author | Zhang, Qihang Xu, Yinghao Wang, Chaoyang Lee, Hsin-Ying Wetzstein, Gordon Zhou, Bolei Yang, Ceyuan |
| author_facet | Zhang, Qihang Xu, Yinghao Wang, Chaoyang Lee, Hsin-Ying Wetzstein, Gordon Zhou, Bolei Yang, Ceyuan |
| contents | Scene image editing is crucial for entertainment, photography, and advertising design. Existing methods solely focus on either 2D individual object or 3D global scene editing. This results in a lack of a unified approach to effectively control and manipulate scenes at the 3D level with different levels of granularity. In this work, we propose 3DitScene, a novel and unified scene editing framework leveraging language-guided disentangled Gaussian Splatting that enables seamless editing from 2D to 3D, allowing precise control over scene composition and individual objects. We first incorporate 3D Gaussians that are refined through generative priors and optimization techniques. Language features from CLIP then introduce semantics into 3D geometry for object disentanglement. With the disentangled Gaussians, 3DitScene allows for manipulation at both the global and individual levels, revolutionizing creative expression and empowering control over scenes and objects. Experimental results demonstrate the effectiveness and versatility of 3DitScene in scene image editing. Code and online demo can be found at our project homepage: https://zqh0253.github.io/3DitScene/. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_18424 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | 3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting Zhang, Qihang Xu, Yinghao Wang, Chaoyang Lee, Hsin-Ying Wetzstein, Gordon Zhou, Bolei Yang, Ceyuan Computer Vision and Pattern Recognition Scene image editing is crucial for entertainment, photography, and advertising design. Existing methods solely focus on either 2D individual object or 3D global scene editing. This results in a lack of a unified approach to effectively control and manipulate scenes at the 3D level with different levels of granularity. In this work, we propose 3DitScene, a novel and unified scene editing framework leveraging language-guided disentangled Gaussian Splatting that enables seamless editing from 2D to 3D, allowing precise control over scene composition and individual objects. We first incorporate 3D Gaussians that are refined through generative priors and optimization techniques. Language features from CLIP then introduce semantics into 3D geometry for object disentanglement. With the disentangled Gaussians, 3DitScene allows for manipulation at both the global and individual levels, revolutionizing creative expression and empowering control over scenes and objects. Experimental results demonstrate the effectiveness and versatility of 3DitScene in scene image editing. Code and online demo can be found at our project homepage: https://zqh0253.github.io/3DitScene/. |
| title | 3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2405.18424 |