SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model

Understand

With the development of large language models, many remarkable linguistic systems like ChatGPT have thrived and achieved astonishing success on many tasks, showing the incredible power of foundation models.

• In the spirit of unleashing the capability of foundation models on vision tasks, the Segment Anything Model (SAM), a vision foundation model for image segmentation, has been proposed recently and presents strong zero-shot ability on many downstream 2D tasks.
• However, whether SAM can be adapted to 3D vision tasks has yet to be explored, especially 3D object detection.
• With this inspiration, we explore adapting the zero-shot ability of SAM to 3D object detection in this paper.