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Collections including paper arxiv:2404.16821

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 22
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 10
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 33
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding

Paper • 2406.19389 • Published 25 days ago • 51
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Paper • 2404.16821 • Published Apr 25 • 52

A Pioneering Open-Source Alternative to GPT-4V

OpenGVLab/InternVL-Chat-V1-5

Image-Text-to-Text • Updated 1 day ago • 26.3k • 385
OpenGVLab/Mini-InternVL-Chat-4B-V1-5

Image-Text-to-Text • Updated 1 day ago • 20.6k • 54
OpenGVLab/Mini-InternVL-Chat-2B-V1-5

Image-Text-to-Text • Updated 1 day ago • 33.2k • 58
OpenGVLab/InternVL-Chat-V1-5-Int8

Image-Text-to-Text • Updated 1 day ago • 2.58k • 59

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Paper • 2404.16821 • Published Apr 25 • 52

image llm works

Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation

Paper • 2404.19752 • Published Apr 30 • 21
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Paper • 2404.16821 • Published Apr 25 • 52
MoAI: Mixture of All Intelligence for Large Language and Vision Models

Paper • 2403.07508 • Published Mar 12 • 73
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14 • 123

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Paper • 2404.16821 • Published Apr 25 • 52
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings

Paper • 2404.16820 • Published Apr 25 • 15
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 11

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Paper • 2404.16821 • Published Apr 25 • 52

Vision Language Models

BLINK: Multimodal Large Language Models Can See but Not Perceive

Paper • 2404.12390 • Published Apr 18 • 24
TextSquare: Scaling up Text-Centric Visual Instruction Tuning

Paper • 2404.12803 • Published Apr 19 • 28
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models

Paper • 2404.13013 • Published Apr 19 • 28
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Paper • 2404.06512 • Published Apr 9 • 29

Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation

Paper • 2403.16990 • Published Mar 25 • 24
ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 49
Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1 • 19

Vision-Language Model

Visual Instruction Tuning

Paper • 2304.08485 • Published Apr 17, 2023 • 10
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

Paper • 2308.12966 • Published Aug 24, 2023 • 6
Improved Baselines with Visual Instruction Tuning

Paper • 2310.03744 • Published Oct 5, 2023 • 35
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 6

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