**SceneActBench: Can Agents Act on the 3D Scenes They See?** > Vision-language

**SceneActBench: Can Agents Act on the 3D Scenes They See?**

> Vision-language model (VLM) agents increasingly use tools to act on 3D scenes rather than only describe them. Existing 3D benchmarks score textual responses or single-object operations, leaving agent action on complete multi-object 3D scenes under evaluated. We present SceneActBench, a benchmark for visually conditioned action across five 3D tasks under a unified agent-environment loop. Given PNG images or sampled vi...

**来源信息**
- **来源**：HuggingFace Daily Papers（社区热门论文）
- **分类**：论文
- **发布时间**：2026-07-27 08:00（北京时间）
- **原文**：[打开原文](https://huggingface.co/papers/2607.22393)