3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code
Procedural 3D modeling through code is emerging as a versatile paradigm, offering deterministic, engine-ready, and precisely editable assets that neural 3D generators inherently lack. Authoring such procedural content, however, demands deep expertise in 3D software APIs, parametric design, and code-level geometric reasoning. In this paper, we propose 3DCodeBench, a systematic benchmark for evaluating vision-language model (VLM) agents for procedural 3D generation in 3D modeling software. Specifically, 3DCodeBench evaluates how effectively 12 advanced VLMs can serve as procedural 3D modelers by translating text and image references into procedural code for 3D modeling software. Recognizing...
| Authors | Yipeng Gao, Lei Shu, Genzhi Ye et al. |
|---|---|
| Primary category | cs.CV |
| Published | 31 May 2026 |
| Last updated at source | 31 May 2026 |
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- YipengGao/3DCodeDataset · cited by
- JohnDOeNNN/Qwen3.8-35B-A3B-APEX-Abliterated-Blender-v1-GGUFModel · cited by
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