Research map / 3D vision / NeRF and radiance fields
NeRFLight: Fast and Light Neural Radiance Fields Using a Shared Feature Grid
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| share a feature grid across eight region-specific density decoders | NeRFLight · NeRF Synthetic | FPS/MB: 12.929 vs 6.689 | Helped |
| share a feature grid across eight region-specific density decoders | NeRFLight · Tanks and Temples | FPS/MB: 1.950 vs 0.470 | Helped |
| use a symmetric rather than linear voxel grid (ablation) | NeRFLight with implicit features · NeRF Synthetic, Lego | PSNR: 29.82 -> 30.56 | Helped |
| use a symmetric rather than linear voxel grid (ablation) | NeRFLight with implicit-explicit features · NeRF Synthetic, Lego | PSNR: 30.98 -> 31.41 | Helped |
| use a symmetric rather than linear voxel grid (ablation) | NeRFLight with implicit features · NeRF Synthetic, Lego | FPS/MB: 172/24=7.17 -> 181/14=12.9 | Helped |
| use a symmetric rather than linear voxel grid (ablation) | NeRFLight with implicit-explicit features · NeRF Synthetic, Lego | FPS/MB: 172/24=7.17 -> 181/14=12.9 | Helped |
| add explicit feature optimization after implicit feature initialization (ablation) | NeRFLight with a symmetric grid · NeRF Synthetic, Lego | PSNR: 30.56 -> 31.41 | Helped |
| add explicit feature optimization after implicit feature initialization (ablation) | NeRFLight with a linear grid · NeRF Synthetic, Lego | PSNR: 29.82 -> 30.98 | Helped |
Closest papers by meaning
- Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields (AAAI 2024 · similarity 0.92)
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