GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
Nanyang Technological University · Tsinghua University · +2 more institutions
Abstract
3D editing plays a crucial role in many areas such as gaming and virtual reality. Traditional 3D editing methods, which rely on representations like meshes and point clouds, often fall short in realistically depicting complex scenes. On the other hand, methods based on implicit 3D representations, like Neural Radiance Field (NeRF), render complex scenes effectively but suffer from slow processing speeds and limited control over specific scene areas. In response to these challenges, our paper presents GaussianEditor, the first 3D editing algorithm based on Gaussian Splatting (GS), a novel 3D representation. GaussianEditor enhances precision and control in editing through our proposed Gaussian semantic tracing,…
Citation impact
- FWCI
- 90.19
- Percentile
- 100%
- References
- 65
Authors
10Topics & keywords
- Swift
- Computer science
- Computer graphics (images)
- Gaussian
- Programming language
- Physics