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Alibaba's Qwen open-sources BlenderWorld, a 3D creation benchmark for visual agents

AI summary

According to IT之家 and DoNews, Alibaba's Qwen team open-sourced BlenderWorld on October 14, a benchmark for evaluating visual agents on real 3D creation tasks in Blender; it is under the MIT license, with code and dataset published on GitHub, Hugging Face and ModelScope. The benchmark contains 223 tasks and 2,651 criteria across 9 major categories and 22 subcategories, ranging from products and architecture to natural environments, characters, animation and scientific visualization, and it requires an editable .blend project file rather than just a rendered image. Evaluation renders submissions from 8 adaptive viewpoints and combines scene checks, task-specific binary criteria and 8 overall visual quality scores, weighting rule compliance and visual quality at 50% each; the project uses Blender 4.2.10 and requires Linux and Python 3.10 or later.

In-depth insight

Because the benchmark requires an editable .blend project file rather than only a rendered image, it tests whether agents can build materials, geometry, lighting and camera setups that designers can continue to modify.

223 道题、2651 条标准:阿里 Qwen 开源 BlenderWorld,给 AI 出了一套 3D 建模大考 - IT之家

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#Alibaba Qwen#BlenderWorld#Blender#GitHub#Hugging Face#ModelScope

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