ReplaceAnything3D:Text-Guided 3D Scene Editing with Compositional Neural
  Radiance Fields
Edward Bartrum Thu Nguyen-Phuoc Chris Xie Zhengqin Li Numair Khan Armen Avetisyan Douglas Lanman Lei Xiao
We introduce ReplaceAnything3D model (RAM3D), a novel text-guided 3D scene
editing method that enables the replacement of specific objects within a scene.
Given multi-view images of a scene, a text prompt describing the object to
replace, and a text prompt describing the new object, our Erase-and-Replace
approach can effectively swap objects in the scene with newly generated content
while maintaining 3D consistency across multiple viewpoints. We demonstrate the
versatility of ReplaceAnything3D by applying it to various realistic 3D scenes,
showcasing results of modified foreground objects that are well-integrated with
the rest of the scene without affecting its overall integrity.