Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation
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2404.19752
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Published
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20
image llm
image llm works
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How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Paper • 2404.16821 • Published • 49 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 72 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 123 -
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models
Paper • 2403.13447 • Published • 16 -
MyVLM: Personalizing VLMs for User-Specific Queries
Paper • 2403.14599 • Published • 14 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 42 -
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
Paper • 2404.01331 • Published • 22 -
OmniFusion Technical Report
Paper • 2404.06212 • Published • 73 -
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
Paper • 2404.06512 • Published • 29 -
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Paper • 2404.12803 • Published • 28 -
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
Paper • 2404.13013 • Published • 27 -
What matters when building vision-language models?
Paper • 2405.02246 • Published • 89 -
Xmodel-VLM: A Simple Baseline for Multimodal Vision Language Model
Paper • 2405.09215 • Published • 14 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 75 -
Parrot: Multilingual Visual Instruction Tuning
Paper • 2406.02539 • Published • 33