AstraLOD3: Zero-shot multimodal agentic reconstruction of LOD3 building models

arXiv:2609.28061 · cs.CV · Submitted 2026-09-23 · Read on arXiv

cs.CV

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/disc-laboratory/AstraLOD3

Project page: https://disc-laboratory.github.io/AstraLOD3

Terminology

• Point Clouds — 24× in this paper · explained in 2 episodes
• Foundation Model — 18× in this paper · explained in 3 episodes
• Benchmark — 17× in this paper · explained in 2 episodes
• Consistency — 11× in this paper · explained in 3 episodes
• Foundation Models — 11× in this paper · explained in 7 episodes
• Ablation — 10× in this paper · explained in 1 episode
• Digital Twin — 9× in this paper · explained in 5 episodes
• Provenance — 8× in this paper · explained in 4 episodes
• Fine-Tuning — 7× in this paper · explained in 5 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Agentic Framework — 4× in this paper · explained in 6 episodes
• Damage-Augmented Digital Twin — 4× in this paper
• Fidelity — 4× in this paper · explained in 2 episodes
• Iterative Refinement — 4× in this paper · explained in 3 episodes
• Multi-Agent Framework — 3× in this paper · explained in 3 episodes
• Facade Re-projection Dice Score — 2× in this paper
• Generative AI — 2× in this paper · explained in 2 episodes
• Inliers of Model Fidelity — 2× in this paper
• Instance Segmentation — 2× in this paper · explained in 3 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Agentic AI — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Digital Intelligence for Structures and Construction — 1× in this paper
• Graph Construction — 1× in this paper · explained in 3 episodes
• IEEE International Conference on Computer Vision — 1× in this paper
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Point Cloud Data — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes

Sources

• Executable Code Actions Elicit Better LLM Agents
• ReAct: Synergizing Reasoning and Acting in Language Models
• LRM: Large Reconstruction Model for Single Image to 3D
• SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code
• BIMgent: Towards Autonomous Building Modeling via Computer-use Agents

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