ZVeC: A Zero-Shot Framework for Instance-Level Vehicle Extraction and Generative Point Cloud Completion

arXiv:2609.24825 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

Terminology

Point Clouds — 18× in this paper · explained in 2 episodes
Instance Segmentation — 17× in this paper · explained in 3 episodes
Transformer — 9× in this paper · explained in 2 episodes
Sparsity — 8× in this paper · explained in 4 episodes
Benchmark — 5× in this paper · explained in 2 episodes
Digital Twin — 5× in this paper · explained in 4 episodes
Robustness — 5× in this paper · explained in 5 episodes
Consistency — 4× in this paper · explained in 3 episodes
Ablation — 3× in this paper · explained in 1 episode
Diffusion Model — 3× in this paper · explained in 8 episodes
Distillation — 3× in this paper · explained in 2 episodes
Grounding — 3× in this paper · explained in 3 episodes
Accuracy — 2× in this paper · explained in 1 episode
Aggregation — 2× in this paper · explained in 1 episode
Alignment — 2× in this paper · explained in 1 episode
Clustering — 2× in this paper · explained in 2 episodes
Computer Vision and Pattern Recognition — 2× in this paper
Fidelity — 2× in this paper · explained in 2 episodes
Generalization — 2× in this paper · explained in 13 episodes
Ablation study — 1× in this paper · explained in 1 episode
Adaptation — 1× in this paper · explained in 1 episode
CVF International Conference on Computer Vision — 1× in this paper
Core — 1× in this paper · explained in 2 episodes
Diffusion Models — 1× in this paper · explained in 6 episodes
Domain Shift — 1× in this paper · explained in 4 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Optimal Transport — 1× in this paper · explained in 5 episodes

Terminology

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