ScanEdit: Hierarchically-Guided Functional 3D Scan Editing
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Abstract (arXiv)
With the fast pace of 3D capture technology and resulting abundance of 3D data, effective 3D scene editing becomes essential for a variety of graphics applications. In this work we present ScanEdit, an instruction-driven method for functional editing of complex, real-world 3D scans. To model large and interdependent sets of ob- jectswe propose a hierarchically-guided approach. Given a 3D scan decomposed into its object instances, we first construct a hierarchical scene graph representation to enable effective, tractable editing. We then leverage reason- ing capabilities of Large Language Models (LLMs) and translate high-level language instructions into actionable commands applied hierarchically to the scene graph. Fi- nally, ScanEdit integrates LLM-based guidance with ex- plicit physical constraints and generates realistic scenes where object arrangements obey both physics and common sense. In our extensive experimental evaluation ScanEdit outperforms state of the art and demonstrates excellent re- sults for a variety of real-world scenes and input instruc- tions.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 42 of its 94 references that are in the map. First posted on arXiv 21 Apr 2025.
Builds on
42 of 94 references.
References · 42
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30 more
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Built on by
Citing papers per year: 2026: 4.
4 papers.
- 2026HDSL: A Hierarchical Domain-Specific Language for Structured 3D Indoor Scene Generation and Localized Editing with LLM Agentscited by 2
- 2026Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrievalcited by 1
- 2026SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenescited by 1
- 2026PhyScene3D: Physically Consistent Interactive 3D Tabletop Scene Generationcited by 1
- 2026HDSL: A Hierarchical Domain-Specific Language for Structured 3D Indoor Scene Generation and Localized Editing with LLM Agents8 Jun 2026
- 2026PhyScene3D: Physically Consistent Interactive 3D Tabletop Scene Generation1 Jun 2026
- 2026SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes29 May 2026
- 2026Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval17 Apr 2026