ReplaceAnything3D:Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields

Ed Bartrum, Thu Nguyen-Phuoc, Chris Xie, Li, Numair Khan, Armen Avetisyan, Douglas Lanman, Lei Xiao

ReplaceAnything3D:Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields: 16 upvotes on Hugging Face Daily Papers, #9 of 10 papers on 2024-02-01. Day-by-day upvote history.

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.

Paper page on Hugging Face · arXiv

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