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

6 upvotes · 24 JUL 2026 · Yifei Zhao, Xiangxin Zhou, Wenhao Yang et al.

This paper introduces SceneActBench, a benchmark for evaluating the ability of vision-language model agents to perform actions in 3D scenes, and analyzes the performance of 11 different VLM configurations on this benchmark. Practitioners may care about this research because it helps to identify the limitations of current VLM agents in performing complex tasks in 3D environments.

vision-language models3D visionaction capabilitiesbenchmarkingVLM configurations