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Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 32 -
GLIGEN: Open-Set Grounded Text-to-Image Generation
Paper • 2301.07093 • Published • 4 -
PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation
Paper • 2404.13026 • Published • 24 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 15
Collections
Discover the best community collections!
Collections including paper arxiv:2404.07973
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LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
Paper • 2404.01331 • Published • 27 -
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models
Paper • 2404.03118 • Published • 25 -
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
Paper • 2404.07917 • Published • 2 -
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 32
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Improving Text-to-Image Consistency via Automatic Prompt Optimization
Paper • 2403.17804 • Published • 20 -
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation
Paper • 2403.16990 • Published • 25 -
Getting it Right: Improving Spatial Consistency in Text-to-Image Models
Paper • 2404.01197 • Published • 31 -
Condition-Aware Neural Network for Controlled Image Generation
Paper • 2404.01143 • Published • 13
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Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 32 -
RegionGPT: Towards Region Understanding Vision Language Model
Paper • 2403.02330 • Published • 2 -
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Paper • 2404.12803 • Published • 30 -
Pegasus-v1 Technical Report
Paper • 2404.14687 • Published • 33
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Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion
Paper • 2310.03502 • Published • 78 -
Transferable and Principled Efficiency for Open-Vocabulary Segmentation
Paper • 2404.07448 • Published • 12 -
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 32 -
COCONut: Modernizing COCO Segmentation
Paper • 2404.08639 • Published • 30
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Towards a World-English Language Model for On-Device Virtual Assistants
Paper • 2403.18783 • Published • 6 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 129 -
ReALM: Reference Resolution As Language Modeling
Paper • 2403.20329 • Published • 22 -
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs
Paper • 2404.05719 • Published • 83
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PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 59 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 101 -
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 32 -
Zephyr: Direct Distillation of LM Alignment
Paper • 2310.16944 • Published • 123
-
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 32 -
GLIGEN: Open-Set Grounded Text-to-Image Generation
Paper • 2301.07093 • Published • 4 -
PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation
Paper • 2404.13026 • Published • 24 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 15
-
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 32 -
RegionGPT: Towards Region Understanding Vision Language Model
Paper • 2403.02330 • Published • 2 -
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Paper • 2404.12803 • Published • 30 -
Pegasus-v1 Technical Report
Paper • 2404.14687 • Published • 33
-
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion
Paper • 2310.03502 • Published • 78 -
Transferable and Principled Efficiency for Open-Vocabulary Segmentation
Paper • 2404.07448 • Published • 12 -
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 32 -
COCONut: Modernizing COCO Segmentation
Paper • 2404.08639 • Published • 30
-
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
Paper • 2404.01331 • Published • 27 -
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models
Paper • 2404.03118 • Published • 25 -
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
Paper • 2404.07917 • Published • 2 -
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 32
-
Towards a World-English Language Model for On-Device Virtual Assistants
Paper • 2403.18783 • Published • 6 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 129 -
ReALM: Reference Resolution As Language Modeling
Paper • 2403.20329 • Published • 22 -
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs
Paper • 2404.05719 • Published • 83
-
Improving Text-to-Image Consistency via Automatic Prompt Optimization
Paper • 2403.17804 • Published • 20 -
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation
Paper • 2403.16990 • Published • 25 -
Getting it Right: Improving Spatial Consistency in Text-to-Image Models
Paper • 2404.01197 • Published • 31 -
Condition-Aware Neural Network for Controlled Image Generation
Paper • 2404.01143 • Published • 13
-
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 59 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 101 -
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 32 -
Zephyr: Direct Distillation of LM Alignment
Paper • 2310.16944 • Published • 123