hrz2000/CustomNeRF

[CVPR 2024] Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training

19
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Experimental

This project helps 3D artists and content creators modify specific objects within a 3D scene that was created from photos (a NeRF model). You provide an existing NeRF model and either a text description or a reference image. The output is a new 3D scene where the specified object has been visually transformed according to your input, while keeping the background unchanged.

No commits in the last 6 months.

Use this if you need to precisely edit foreground elements in a 3D NeRF scene using text prompts or a reference image, ensuring the background remains intact and the edits are consistent from multiple viewpoints.

Not ideal if you need to create entire 3D scenes from scratch or perform broad, non-localized edits across the whole scene.

3D-content-creation virtual-photography digital-asset-editing 3D-rendering visual-effects
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 3 / 25

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44

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Language

Python

License

Last pushed

Apr 13, 2024

Commits (30d)

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