NaCR: Visual Localization via NeRF-aided Camera Ray Regression

arXiv:2609.25907 · cs.CV · Submitted 2026-09-22 · Read on arXiv

cs.CV

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

• Accuracy — 27× in this paper · explained in 1 episode
• Camera Ray Regression — 26× in this paper
• Visual Localization — 16× in this paper
• Ablation — 14× in this paper · explained in 1 episode
• Data Augmentation — 14× in this paper · explained in 7 episodes
• NeRF-aided Camera Ray Regression — 14× in this paper
• Computer Vision and Pattern Recognition — 10× in this paper
• Ablation study — 8× in this paper · explained in 1 episode
• Two-stage training — 8× in this paper · explained in 2 episodes
• Novel View Synthesis — 7× in this paper
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Ablation Studies — 4× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 4× in this paper
• Robustness — 4× in this paper · explained in 5 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• European Conference on Computer Vision — 3× in this paper
• Gaussian Splatting — 3× in this paper · explained in 4 episodes
• Loss Function — 3× in this paper · explained in 2 episodes
• Relative Pose Regression — 3× in this paper
• Scene Coordinate Regression — 3× in this paper
• Transformer — 3× in this paper · explained in 2 episodes
• 3D Gaussian Splatting — 2× in this paper · explained in 2 episodes
• Absolute Pose Regression — 2× in this paper
• Adversarial Training — 2× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Gradient Decorrelation Training — 2× in this paper
• IEEE International Conference on Robotics and Automation — 2× in this paper
• International Conference on Learning Representations — 2× in this paper
• 3D Gaussian Splatting (3DGS) — 1× in this paper · explained in 4 episodes
• Adam — 1× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• NVS-based Pose Refinement — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• R-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual Localization
• GRLoc: Geometric Representation Regression for Visual Localization

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