Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Understand

We present Set-of-Mark (SoM), a new visual prompting method, to unleash the visual grounding abilities of large multimodal models (LMMs), such as GPT-4V.

• As illustrated in Fig.
• 1 (right), we employ off-the-shelf interactive segmentation models, such as SEEM/SAM, to partition an image into regions at different levels of granularity, and overlay these regions with a set of marks e.g., alphanumerics, masks, boxes.
• Using the marked image as input, GPT-4V can answer the questions that require visual grounding.