CubePart: An Open-Vocabulary Part-Controllable 3D Generator
Yiheng Zhu, Kangle Deng, Jean-Philippe Fauconnier, Inaki Navarro, Daiqing Li, Ava Pun, Yinan Zhang, Peiye Zhuang, Xiaoxia Sun, Maneesh Agrawala, Kiran Bhat, Tinghui Zhou
Abstract
Interactive 3D assets used in games and simulation are typically decomposed into specific semantic parts to support animation, physics, and scripted behaviors, yet most generative 3D models produce either monolithic meshes or arbitrary part decompositions that cannot be aligned with application-specific requirements. We present CubePart, a generative framework for open-vocabulary, part-controllable 3D mesh generation that exposes part structure as an explicit inference-time control signal. Given a global text prompt and a user-defined parts schema expressed as an open-ended list of part names, our method generates a set of meshes—one per schema element—that assemble into a coherent object while respecting the specified semantic structure. To enable this capability, we introduce a scalable data pipeline to construct a large open-vocabulary, part-labeled 3D dataset, along with a two-stage generative architecture that separates global shape synthesis from part-level decoding. We demonstrate that the resulting assets can be directly integrated into game engines and driven by animation and behavior scripts without manual post-processing.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext b564c942-3ff9-4e6d-a008-4ed87ca209faBuilds on32
- Segment AnythingAlexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao et al.ICCV 2023 · 13,211 citations
- Scaling Rectified Flow Transformers for High-Resolution Image SynthesisPatrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari et al.ICML 2024 · 3,620 citations
- Zero-1-to-3: Zero-shot One Image to 3D ObjectRuoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov et al.ICCV 2023 · 1,662 citations
- ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score DistillationZhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao et al.NeurIPS 2023 · 1,498 citations
- SAM 3: Segment Anything with ConceptsNicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath et al.ICLR 2026 · 1,103 citations
Related papers
- X-Part: High Fidelity And Structure Coherent Shape Decomposition And CompletionXinhao Yan, Jiachen Xu, Yang Li, Changfeng Ma et al.CVPR 2026
- CAGE: Controllable Articulation GEnerationJiayi Liu, Hou In Ivan Tam, Ali Mahdavi-Amiri, Manolis SavvaCVPR 2024
- PartGen: Part-level 3D Generation and Reconstruction with Multi-view Diffusion ModelsMinghao Chen, Roman Shapovalov, Iro Laina, Tom Monnier et al.CVPR 2025
- SceneGenesis: 3D Scene Synthesis via Semantic Structural Priors and Mesh-Guided Video-Geometry FusionYueming Zhao, Hongyu Yang, Di HuangAAAI 2026
- ArtLLM: Generating Articulated Assets via 3D LLMPenghao Wang, Siyuan Xie, Hongyu Yan, Xianghui Yang et al.CVPR 2026 · 7 citations
