NormLift: From Lifted Features To Semantic Reliability In 3D Gaussian Splatting

arXiv:2609.18898 · cs.CV · Submitted 2026-09-16 · Read on arXiv

cs.CV

Submitted: 2026-09-16

Updated: 2026-09-16

Terminology

• Gaussian Splatting — 28× in this paper · explained in 4 episodes
• 3D Gaussian Splatting — 14× in this paper · explained in 2 episodes
• Accuracy — 14× in this paper · explained in 1 episode
• Consistency — 14× in this paper · explained in 3 episodes
• alpha — 14× in this paper · explained in 1 episode
• Alignment — 12× in this paper · explained in 1 episode
• Aggregation — 11× in this paper · explained in 1 episode
• Quantization — 9× in this paper · explained in 12 episodes
• Alignment Problem — 7× in this paper · explained in 1 episode
• Calibration — 4× in this paper · explained in 7 episodes
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Semantic Drift — 3× in this paper · explained in 3 episodes
• 3D Gaussian Splatting (3DGS) — 2× in this paper · explained in 4 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Segmentation Masks — 2× in this paper · explained in 2 episodes
• Training-Free Framework — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Guided attention — 1× in this paper · explained in 2 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes

Sources

• Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting
• CAGS: Open-Vocabulary 3D Scene Understanding with Context-Aware Gaussian Splatting

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