GLaMM demonstrates advanced capabilities in grounded conversation generation, producing dense captions with pixel-level groundings, significantly enhancing user interaction with images.
The model excels in referring segmentation, adeptly interpreting natural language queries to segment multiple objects, showcasing its versatility through multi-round conversations.
GLaMM's region-level understanding enables it to generate detailed image descriptions tailored to user-specified regions, illustrating its comprehensive interpretative abilities.
Through its integration with generative models like Stable Diffusion, GLaMM illustrates a seamless capability in conditional image generation and inpainting.
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