Research map / 3D vision / NeRF and radiance fields
NeRF-Editing: Geometry Editing of Neural Radiance Fields
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use two-step deformation transfer through a tetrahedral proxy rather than 3NN displacement interpolation | NeRF-Editing · Mixamo synthetic | SSIM: 0.941 -> 0.975 | Helped |
| use two-step deformation transfer through a tetrahedral proxy rather than 3NN displacement interpolation | NeRF-Editing · Mixamo synthetic | LPIPS: 0.042 -> 0.024 | Helped |
| use two-step deformation transfer through a tetrahedral proxy rather than 3NN displacement interpolation | NeRF-Editing · Mixamo synthetic | PSNR: 24.30 -> 29.62 | Helped |
| use two-step deformation transfer through a tetrahedral proxy rather than 3NN displacement interpolation | NeRF-Editing · Real scenes | FID: 291.7 -> 253.7 | Helped |
| add triangular-mesh editing followed by deformation transfer instead of editing the tetrahedral mesh directly (ablation) | NeRF-Editing · Mixamo synthetic | SSIM: 0.934 -> 0.975 | Helped |
| add triangular-mesh editing followed by deformation transfer instead of editing the tetrahedral mesh directly (ablation) | NeRF-Editing · Mixamo synthetic | LPIPS: 0.049 -> 0.024 | Helped |
| add triangular-mesh editing followed by deformation transfer instead of editing the tetrahedral mesh directly (ablation) | NeRF-Editing · Mixamo synthetic | PSNR: 24.37 -> 29.62 | Helped |
| use a NeuS-extracted mesh instead of a NeRF-extracted mesh (ablation) | NeRF-Editing · Mixamo synthetic | SSIM: 0.969 -> 0.975 | Helped |
| use a NeuS-extracted mesh instead of a NeRF-extracted mesh (ablation) | NeRF-Editing · Mixamo synthetic | LPIPS: 0.027 -> 0.024 | Helped |
| use a NeuS-extracted mesh instead of a NeRF-extracted mesh (ablation) | NeRF-Editing · Mixamo synthetic | PSNR: 28.95 -> 29.62 | Helped |
Closest papers by meaning
- NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds (CVPR 2023 · similarity 0.93)
- Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields (CVPR 2022 · similarity 0.93)
- Removing Objects From Neural Radiance Fields (CVPR 2023 · similarity 0.92)
- Rad-NeRF: Ray-decoupled Training of Neural Radiance Field (NeurIPS 2024 · similarity 0.91)
- Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates (CVPR 2024 · similarity 0.91)
- A General Implicit Framework for Fast NeRF Composition and Rendering (AAAI 2024 · similarity 0.90)
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