Research map / 3D vision / NeRF and radiance fields
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace conical Gaussian IPE approximation with exact pyramid-based IPE | Mip-NeRF · Blender | PSNR: 34.766 -> 34.707 | Hurt |
| Replace conical Gaussian IPE approximation with exact pyramid-based IPE | Mip-NeRF · Blender | LPIPS: 0.0675 -> 0.0667 | Helped |
| Replace conical Gaussian IPE approximation with exact pyramid-based IPE | Mip-NeRF · Blender | Avg: 0.0242 -> 0.0242 | No clear effect |
| Replace conical Gaussian IPE approximation with exact pyramid-based IPE | Mip-NeRF 360 · Mip-NeRF 360 dataset | PSNR: 27.325 -> 27.230 | Hurt |
| Replace conical Gaussian IPE approximation with exact pyramid-based IPE | Mip-NeRF 360 · Mip-NeRF 360 dataset | LPIPS: 0.6559 -> 0.6569 | Hurt |
| Replace conical Gaussian IPE approximation with exact pyramid-based IPE | Mip-NeRF 360 · Mip-NeRF 360 dataset | Avg: 0.1077 -> 0.1088 | Hurt |
| Use exact pyramid-based encoding instead of Gaussian approximation for distant regions | Mip-NeRF 360 · Mip-NeRF 360 dataset | background reconstruction quality | Helped |
Closest papers by meaning
- PyNeRF: Pyramidal Neural Radiance Fields (NeurIPS 2023 · similarity 0.93)
- Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields (CVPR 2022 · similarity 0.92)
- Rad-NeRF: Ray-decoupled Training of Neural Radiance Field (NeurIPS 2024 · similarity 0.92)
- CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning (AAAI 2024 · similarity 0.91)
- Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation (ICLR 2024 · similarity 0.90)
- Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields (AAAI 2024 · similarity 0.90)
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