Research map / 3D vision / NeRF and radiance fields
NeRFix: fixing subtle mistakes in the quadrature of the NeRF volumetric integral
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Identifies subtle errors in the numerical quadrature rule used by NeRF's volume rendering integral, present in the original paper and its implementation, and proposes a corrected quadrature.
Problem
NeRF renders views by numerically approximating the volumetric integral with a quadrature rule; the paper reports that mistakes in this quadrature, present in the original NeRF paper and its implementation, have gone unnoticed for years.
Approach
Points out specific mistakes in the NeRF quadrature rule (in both the paper and its code) and corrects them, fixing subtle errors in how the volumetric integral is discretized.
Surprising findings
- Subtle quadrature mistakes in the original NeRF paper and its implementation have gone unnoticed for many years.
Experimental setup
Builds on: NeRF
Closest papers by meaning
- NeRF Revisited: Fixing Quadrature Instability in Volume Rendering (NeurIPS 2023 · similarity 0.95)
- GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Acceleration (NeurIPS 2024 · similarity 0.92)
- Rad-NeRF: Ray-decoupled Training of Neural Radiance Field (NeurIPS 2024 · similarity 0.89)
- CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning (AAAI 2024 · similarity 0.87)
- Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields (AAAI 2024 · similarity 0.87)
- NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods (NeurIPS 2025 · similarity 0.87)
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