groundingLMM logo
groundingLMM
★ 969
vs
Awesome-GUI-Agent logo
Awesome-GUI-Agent
★ 1.2k

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.

01

TL;DR

groundingLMM logo
groundingLMMVision / Multimodal · ★ 969

Interactive visual assistants that understand and respond to user queries about specific image regions.

Awesome-GUI-Agent logo
Awesome-GUI-AgentVision / Multimodal · ★ 1.2k

Researchers seeking cutting-edge work and benchmarks in GUI agent development.

02

Side-by-Side Comparison

Field
groundingLMM logogroundingLMM
Awesome-GUI-Agent logoAwesome-GUI-Agent
Category
Vision / Multimodal
Vision / Multimodal
Stars
★ 969
★ 1.2k
License
Apache-2.0
—
Install Command
git clone https://github.com/mbzuai-oryx/groundingLMM.git
git clone https://github.com/showlab/Awesome-GUI-Agent.git
Updated
1mo ago
1y ago
Open Source
Yes
Yes
Tags
Multimodal AI, Computer Vision, Natural Language Processing
Multimodal AI, GUI Agents, Web Automation
03

Features

groundingLMM logogroundingLMM
01Generates natural language responses seamlessly integrated with object segmentation masks.
02Supports a novel Grounded Conversation Generation (GCG) task with comprehensive evaluation protocols.
03Performs detailed Region-Level Captioning and answers reasoning-based visual questions.
04Excels in Referring Expression Segmentation by creating segmentation masks from text-based queries.
05Provides high-quality Image Captioning and Conversational Style Question Answering.
Awesome-GUI-Agent logoAwesome-GUI-Agent
01Curated collection of papers, projects, and resources.
02Focus on multi-modal GUI agents.
03Actively maintained and open for contributions.
04Categorized sections for datasets, models, surveys, and projects.
05Includes an associated tool (Awesome-Paper-Agent) for easy contribution submission.
04

Use Cases

groundingLMM logogroundingLMM
↳Interactive visual assistants that understand and respond to user queries about specific image regions.
↳Automated annotation tools for creating dense, pixel-level grounded datasets.
↳Advanced image analysis for tasks requiring both visual understanding and detailed textual descriptions with segmentation.
Awesome-GUI-Agent logoAwesome-GUI-Agent
↳Researchers seeking cutting-edge work and benchmarks in GUI agent development.
↳
↳Developers looking for relevant projects and resources to build or enhance GUI automation tools.
↳Contributors who want to share new papers, projects, or insights within the multi-modal GUI agent community.
FAQ

FAQ

What is the difference between groundingLMM and Awesome-GUI-Agent?
Both groundingLMM and Awesome-GUI-Agent are in the Vision / Multimodal category. groundingLMM has 969 stars, while Awesome-GUI-Agent has 1.2k stars.
Which is better, groundingLMM or Awesome-GUI-Agent?
The best choice depends on your use case. Choose groundingLMM if Interactive visual assistants that understand and respond to user queries about specific image regions., and Awesome-GUI-Agent if Researchers seeking cutting-edge work and benchmarks in GUI agent development..
Is groundingLMM free or open source?
Yes, groundingLMM is open source on GitHub (Apache-2.0).
Is Awesome-GUI-Agent free or open source?
Yes, Awesome-GUI-Agent is open source on GitHub.
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