Research map / 3D vision / NeRF and radiance fields
EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add optical-flow motion loss (ablation) | EditableNeRF · Synthetic data, editing | PSNR: 24.60 -> 29.79 | Helped |
| add geometry loss after motion loss (ablation) | EditableNeRF · Synthetic data, editing | PSNR: 29.79 -> 32.59 | Helped |
| add key-point initialization (ablation) | EditableNeRF with motion and geometry losses · Synthetic data, editing | PSNR: 32.59 -> 40.01 | Helped |
| use the complete EditableNeRF method instead of CoNeRF | Synthetic data, editing · Synthetic data | PSNR: 39.79 -> 40.01 | Helped |
| use the complete EditableNeRF method instead of HyperNeRF | Synthetic data, reconstruction · Synthetic data | PSNR: 42.67 -> 44.35 | Helped |
| replace HyperNeRF with EditableNeRF | Real-data interpolation · Real data | PSNR: 30.56 -> 30.67 | No clear effect |
Closest papers by meaning
- InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules (ICLR 2024 · similarity 0.89)
- LAENeRF: Local Appearance Editing for Neural Radiance Fields (CVPR 2024 · similarity 0.89)
- SIGNeRF: Scene Integrated Generation for Neural Radiance Fields (CVPR 2024 · similarity 0.89)
- IReNe: Instant Recoloring of Neural Radiance Fields (CVPR 2024 · similarity 0.88)
- Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates (CVPR 2024 · similarity 0.88)
- BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling (AAAI 2024 · similarity 0.88)
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