PePESeg3D: Perception Prior Enhances Multi-Scale Segmentation for 3D Gaussian Splatting

arXiv:2609.28645 · cs.CV · Submitted 2026-09-23 · Read on arXiv

cs.CV

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/BeCow5X5/PePESeg3D

Terminology

• Gaussian Splatting — 20× in this paper · explained in 4 episodes
• Consistency — 18× in this paper · explained in 3 episodes
• Contrastive Learning — 18× in this paper · explained in 5 episodes
• 3D Gaussian Splatting — 11× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Alignment — 7× in this paper · explained in 1 episode
• Segmentation Masks — 6× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Clustering — 5× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• alpha — 5× in this paper · explained in 1 episode
• 3D Gaussian Splatting (3DGS) — 4× in this paper · explained in 4 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Ablation Studies — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Distillation — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 2× in this paper
• Fidelity — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• National Research Foundation of Korea — 2× in this paper
• Abundance — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Two-Stage Optimization — 1× in this paper · explained in 2 episodes

Sources

• SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition
• Segment Anything
• Depth Anything 3: Recovering the Visual Space from Any Views
• Depth Anything V2

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