High Quality Caption

High-quality caption generation focuses on creating accurate, engaging, and stylistically appropriate textual descriptions for images and videos. Current research emphasizes improving caption quality through advanced model architectures like diffusion models and large language models (LLMs), often incorporating techniques such as retrieval augmentation and contrastive learning to enhance alignment between visual and textual data. This work is crucial for advancing various applications, including image and video retrieval, question answering, and improving accessibility for visually impaired individuals, as well as enhancing the usability of scientific figures and data visualizations. The development of robust evaluation metrics that go beyond simple n-gram comparisons is also a key area of focus.