groundingLMM vs Awesome-GUI-Agent
groundingLMM: GLaMM (Grounding Large Multimodal Model) is an end-to-end trained LMM capable of generating natural language responses integrated with object segmentation masks, enabling visual grounding and versatile interaction with images at multiple granularity levels. It introduces the novel task of Grounded Conversation Generation (GCG), supports various downstream applications like referring expression segmentation and region-level captioning, and is underpinned by the large-scale GranD dataset.; Awesome-GUI-Agent: This repository provides a curated list of papers, projects, and resources focused on multi-modal Graphical User Interface (GUI) agents. It aims to build a comprehensive overview for developing digital assistants capable of interacting with screens.
TL;DR
Interactive visual assistants that understand and respond to user queries about specific image regions.
Researchers seeking cutting-edge work and benchmarks in GUI agent development.
Side-by-Side Comparison
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