FORG3D: Flexible Object Rendering for Generating Vision-Language Spatial Reasoning Data from 3D Scenes
We introduce FORG3D, a 3D rendering toolkit developed with Blender and Python, which synthesizes vision-language data for two primary purposes: (1) supporting human cognitive experiments that require fine-grained control over material and (2) analyzing and improving the visual reasoning capabilities of large vision-language models.The toolkit provides flexible and precise control over object placement, orientation, inter-object distances, and camera configurations while automatically generating detailed spatial metadata.Additionally, it includes a built-in feature for integrating AI-generated backgrounds, enhancing the realism of synthetic scenes.
Authors
- Oscar Pang (ORCID: https://orcid.org/0000-0002-6351-1698)
- Freda Shi
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.acl-demo.36
- Primary Topic
- Constraint Satisfaction and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Canadian Institute for Advanced Research
- Natural Sciences and Engineering Research Council of Canada