mlsanityData to 7 Oct 2026

EZBlender: Efficient 3D Editing with Plan-and-ReAct Agent

arXiv 2601.07143 ↗First posted 12 Jan 2026cs.HCcited by 2

On the map: LLM agents and tool use → Multimodal and embodied agents

Abstract (arXiv)

As a cornerstone of the modern digital economy, 3D modeling and rendering demand substantial resources and manual effort when scene editing is performed in the traditional manner. Despite recent progress in VLM-based agents for 3D editing, the fundamental trade-off between editing precision and agent responsiveness remains unresolved. To overcome these limitations, we present EZBlender, a Blender agent with a hybrid framework that combines planning-based task decomposition and reactive local autonomy for efficient human AI collaboration and semantically faithful 3D editing. Specifically, this unexplored Plan-and-ReAct design not only preserves editing quality but also significantly reduces latency and computational cost. To further validate the efficiency and effectiveness of the proposed edge-autonomy architecture, we construct a dedicated multi-tasking benchmark that has not been systematically investigated in prior research. In addition, we provide a comprehensive analysis of language model preference, system responsiveness, and economic efficiency.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Placed in Multimodal and embodied agents, one of 16 directions in LLM agents and tool use. Builds on 31 of its 53 references that are in the map. First posted on arXiv 12 Jan 2026.

Builds on

31 of 53 references.

Closest ancestors · 1

Same direction, newest first

  1. 2025WorldCraft: Photo-Realistic 3D World Creation and Customization via LLM Agents21 Feb

Other references · 30

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  3. 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 4,064
  4. 2023Voyager: An Open-Ended Embodied Agent with Large Language Modelscited by 2,081
  5. 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,906
  6. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Societycited by 1,348
  7. 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,285
  8. 2023Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Modelscited by 550
  9. 2022GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Imagescited by 446
  10. 2025Agent Laboratory: Using LLM Agents as Research Assistantscited by 405
  11. 2023Shap-E: Generating Conditional 3D Implicit Functionscited by 379
  12. 2023GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Modelscited by 255
18 more
  1. 2023DreamEditor: Text-Driven 3D Scene Editing with Neural Fieldscited by 154
  2. 2023Infinite Photorealistic Worlds using Procedural Generationcited by 142
  3. 20233D-GPT: Procedural 3D Modeling with Large Language Modelscited by 91
  4. 2023OBJECT 3DIT: Language-guided 3D-aware Image Editingcited by 62
  5. 2024Advances in 3D Generation: A Surveycited by 62
  6. 2023GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planningcited by 61
  7. 2024SceneCraft: Layout-Guided 3D Scene Generationcited by 40
  8. 2025The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure Perspectivecited by 38
  9. 2025BlenderGym: Benchmarking Foundational Model Systems for Graphics Editingcited by 27
  10. 2024FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Modelscited by 21
  11. 2025LL3M: Large Language 3D Modelerscited by 18
  12. 2023Free-Editor: Zero-shot Text-driven 3D Scene Editingcited by 14
  13. 2025LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understandingcited by 12
  14. 2025RetinalGPT: A Retinal Clinical Preference Conversational Assistant Powered by Large Vision-Language Modelscited by 10
  15. 2025Latent Radiance Fields with 3D-aware 2D Representationscited by 6
  16. 2025Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QAcited by 6
  17. 2025Symbolic Graphics Programming with Large Language Modelscited by 6
  18. 20253Description: An Intuitive Human-AI Collaborative 3D Modeling Approachcited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026BVB: Benchmarking Agentic Video Understanding via Programmatic Reconstruction in Blendercited by 1
  2. 20263DHarnessBench: Probing Agentic 3D-to-Code Capabilities of Frontier Vision-Language Modelscited by 0

Similar, not cited

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  1. 2026ViSculpt: Visual-Centric Agentic Geometry Editing
  2. 2026DesignAgent3D: Interactive 3D Scene Editing via Designer-like Multimodal Reasoning
  3. 2026SceneOrchestra: Efficient Agentic 3D Scene Synthesis via Full Tool-Call Trajectory Generation
  4. 2026From Idea to Co-Creation: A Planner-Actor-Critic Framework for Agent Augmented 3D Modeling
  5. 2024BlenderAlchemy: Editing 3D Graphics with Vision-Language Models
  6. 2026SimWorlds: A Multi-Agent System for Dynamic 3D Scene Creation
  7. 2026MUSE: Agentic 3D Scene Authoring via Memory-Grounded Incremental Requirement Satisfaction
  8. 2025VULCAN: Tool-Augmented Multi Agents for Iterative 3D Object Arrangement