Research map / 3D vision / NeRF and radiance fields
Progressively Optimized Local Radiance Fields for Robust View Synthesis
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add progressive joint pose and radiance-field optimization (ablation) | LocalRF · Static Hikes, five scenes | PSNR: 14.55 -> 18.83 | Helped |
| add local radiance fields instead of one global radiance field (ablation) | LocalRF · Static Hikes, five scenes | PSNR: 16.00 -> 18.83 | Helped |
| use progressive pose and radiance-field optimization with local fields | self-calibrated radiance-field reconstruction · Tanks and Temples | PSNR: 11.78 -> 20.41 | Helped |
Closest papers by meaning
- Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video (CVPR 2025 · similarity 0.89)
- ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field (NeurIPS 2024 · similarity 0.88)
- DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization (CVPR 2024 · similarity 0.88)
- FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors (CVPR 2025 · similarity 0.88)
- AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization (AAAI 2024 · similarity 0.87)
- Few-Shot Neural Radiance Fields under Unconstrained Illumination (AAAI 2024 · similarity 0.87)
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