LiTe-GS: Oracle-Efficient Next Best View Selection for 3D Gaussian Splatting

arXiv:2609.30393 · cs.CV, cs.RO · Submitted 2026-09-24 · Read on arXiv

cs.CV, cs.RO

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Gaussian Splatting — 34× in this paper · explained in 4 episodes
• 3D Gaussian Splatting — 28× in this paper · explained in 2 episodes
• Fisher Information — 8× in this paper · explained in 3 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 7× in this paper
• 3D Gaussian Splatting (3DGS) — 6× in this paper · explained in 4 episodes
• Information Gain — 5× in this paper · explained in 2 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Fisher Information Matrix — 2× in this paper
• IEEE International Conference on Robotics and Automation — 2× in this paper
• Static-Subset Greedy — 2× in this paper
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Combinatorial Optimization — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Learned Perceptual Image Patch Similarity — 1× in this paper
• Objective Function — 1× in this paper · explained in 2 episodes
• Peak Signal-to-Noise Ratio — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Active Next-Best-View Optimization for Risk-Averse Path Planning
• Beyond Uncertainty: Risk-Aware Active View Acquisition for Safe Robot Navigation and 3D Scene Understanding with FisherRF

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