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Cover image for DeclutterNeRF: Remove Objects from 3D Scenes FASTER Without Generative AI
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Posted on • Originally published at aimodels.fyi

DeclutterNeRF: Remove Objects from 3D Scenes FASTER Without Generative AI

This is a Plain English Papers summary of a research paper called DeclutterNeRF: Remove Objects from 3D Scenes FASTER Without Generative AI. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Overview

  • DeclutterNeRF removes unwanted objects from 3D scenes without needing generative models
  • Works by identifying and removing occlusions from Neural Radiance Fields (NeRF)
  • Introduces structure-guided inpainting that preserves scene coherence
  • Achieves high-quality results with efficient runtime and memory usage
  • Outperforms existing methods on both synthetic and real-world data

Plain English Explanation

Imagine taking photos of your living room, but there's a cardboard box in the middle that you want to remove from the final 3D model. Traditional methods might replace that box with something weird or nonsensical because they don't understand what should be there.

DeclutterNeR...

Click here to read the full summary of this paper

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