新闻
SceneActBench: Can Agents Act on the 3D Scenes They See?
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- SceneActBench is a benchmark testing whether vision-language model agents can perform multi-object actions on 3D scenes, not just describe them.
- 为何重要
- Matters for engineers building embodied AI systems or agents that must manipulate complex 3D environments based on visual input.
- 注意
- Current VLM agents score only 38.6 to 50.2 percent across tasks, with none performing consistently well, indicating significant capability gaps remain.
- agent
- language model
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