Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models

1. 1Encode 3D scene representations into the input space of LLMs
2. 2Leverage pre-trained LLMs to learn spatial relations
3. 3Fine-tune LLMs on 3D scene-language paired data for improved reasoning ability
4. 4Evaluate models on spatial reasoning tasks to measure performance

AI researchers and engineers working on embodied agents and spatial reasoning tasks can benefit from this approach to enhance their models' ability to understand 3D scenes

💡 Scalable object relation encoding can enhance the ability of LLMs to reason about 3D scenes

🤖 Improving 3D spatial reasoning in LLMs with scalable object relation encoding! 💡