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3DHarnessBench: Probing Agentic 3D-to-Code Capabilities of Frontier Vision-Language Models
We introduce 3DHarnessBench, a benchmark that evaluates the agentic ability of frontier vision-language models (VLMs) to recover 3D geometry as Blender Python code from a variety of inputs. Unlike previous frameworks that prompt the VLMs with a fixed input (e.g., a single rendering or a text descrip
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