Thinking in Blender: Staged Executable Inverse Graphics with Vision-Language Models
- Published
- Source
- arXiv
- Paper number
- 285
- Field
- Computer Vision
- arXiv ID
- 2606.02580
Key points
- The paper introduces Staged Executable Inverse Graphics, or SEIG, an agent framework for reconstructing 3D scenes from a single image by progressively refining scene factors, including geometry, materials, composition, and lighting, directly in executable Blender code space.
- The experiments show that staged reconstruction substantially improves reconstruction fidelity and highlights the importance of task decomposition in executable inverse graphics with a general-purpose VLM.
- It finally demonstrates a variety of downstream applications enabled by the reconstructed and editable Blender scenes.
Paper links
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