Oliver-Ma/

Real-3DQA

Do 3D Large Language Models Really Understand 3D Spatial Relationships? 🌐 Project Page · 📄 Paper · 💻 GitHub

Real-3DQA is a debiased 3D spatial QA benchmark with viewpoint rotation consistency evaluation. It addresses two key shortcomings of existing benchmarks:

Language Shortcut Filtering — Questions answerable through linguistic priors alone are removed by comparing 3D-LLMs against blind text-only counterparts. Viewpoint Rotation Score (VRS) — Each… See the full description on the dataset page: https://huggingface.co/datasets/Oliver-Ma/Real-3DQA.