3D Reasoning

3D reasoning in artificial intelligence focuses on enabling machines to understand and interact with the three-dimensional world, mirroring human spatial awareness. Current research heavily utilizes large language models (LLMs) combined with various 3D representations (e.g., point clouds, neural radiance fields) and architectures like transformers, often incorporating multi-modal data (images, text, depth) to improve reasoning capabilities. This field is crucial for advancements in robotics, autonomous driving, augmented reality, and other applications requiring sophisticated scene understanding and spatial manipulation. The development of large-scale datasets and benchmarks is driving progress towards more robust and generalizable 3D reasoning systems.