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Summary of Replaceanything3d:text-guided 3d Scene Editing with Compositional Neural Radiance Fields, by Edward Bartrum and Thu Nguyen-phuoc and Chris Xie and Zhengqin Li and Numair Khan and Armen Avetisyan and Douglas Lanman and Lei Xiao


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

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

First submitted to arxiv on: 31 Jan 2024

Categories

  • Main: Computer Vision and Pattern Recognition (cs.CV)
  • Secondary: Artificial Intelligence (cs.AI); Graphics (cs.GR)

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
The RAM3D model is a groundbreaking text-guided method for editing 3D scenes. This innovative approach enables the replacement of specific objects within a scene, while maintaining consistency across multiple viewpoints. By feeding in multi-view images and descriptive text prompts, the Erase-and-Replace technique can seamlessly swap out existing objects with newly generated content. The paper showcases the versatility of RAM3D by applying it to various realistic 3D scenes, demonstrating its ability to modify foreground objects without compromising the scene’s integrity.
Low GrooveSquid.com (original content) Low Difficulty Summary
We introduce a new way to change things in 3D pictures. Imagine being able to replace a chair or a car with something else, while keeping the rest of the picture looking normal. That’s what our RAM3D model can do. It takes pictures from different angles and some text that describes what you want to change and what you want to put instead. Then it makes the changes happen, making sure everything looks correct from all sides.

Keywords

» Artificial intelligence