3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian
  Splatting
Authors: name: Qihang Zhang, name: Yinghao Xu, name: Chaoyang Wang, name: Hsin-Ying Lee, name: Gordon Wetzstein, name: Bolei Zhou, name: Ceyuan Yang

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/.