Image captioning by diffusion models: a survey

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High-Resolution Image Synthesis with Latent Diffusion Models

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A Review of Transformer-Based Approaches for Image Captioning

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A thorough review of models, evaluation metrics, and datasets on image captioning

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UniBrain: Unify Image Reconstruction and Captioning All in One Diffusion Model from Human Brain ActivityPreprint

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Image Captioning using Deep Stacked LSTMs, Contextual Word Embeddings and Data AugmentationPreprint

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Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image Captioning

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CLIP-Diffusion-LM: Apply Diffusion Model on Image CaptioningPreprint

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CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept MatchingPreprint

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SynthCap: Augmenting Transformers with Synthetic Data for Image Captioning

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Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image CaptioningPreprint

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Social Media Ready Caption Generation for BrandsPreprint

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Time-Series Large Language Models: A Systematic Review of State-of-the-Art

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Integrating Machine Learning & Deep Learning for Image Captioning and Text Recognition in Mobile Apps Development

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A Comparative Evaluation of Open-Source Vision Language Models for Image Captioning

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Rain Streak Removal Using Improved Generative Adversarial Network with Loss Function Optimization

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Image Captioning Through Deep Learning: An Adaptation of the BLIP-2 Model to Arabic

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A Study on Generating Maritime Image Captions Based on Transformer Dual Information Flow

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CRTDiff: A Conditional Residual Temporal Diffusion Model for Data Augmentation to Enhance Machine Learning Prediction of PPV in Open-Pit Mining

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Speaking Images. A Novel Framework for the Automated Self-Description of Artworks

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Dynamic dual consistency distillation for imbalanced facial attribute editing

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Vda: A vision-based network for open-set defect detection with multi-level feature fusion

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Screen Understanding through Automated Image Descriptions

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Text-to-image Diffusion Models in Generative AI: A SurveyPreprint

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Image2Text2Image: A Novel Framework for Label-Free Evaluation of Image-to-Text Generation with Text-to-Image Diffusion Models

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