descriptiongeneration
Description generation is the automatic creation of natural language descriptions from input data, including images, video, audio, and structured data. It combines techniques from computer vision, natural language processing, and knowledge grounding to produce fluent and informative text that describes or summarizes the input content.
Core tasks include image captioning, video captioning, scene description, and data-to-text generation, where structured data such
Approaches commonly rely on encoder-decoder architectures. An encoder converts the input into a latent representation (for
Data and evaluation involve benchmark datasets such as MS COCO and Flickr30k for image captioning, YouCook2
Future directions emphasize more robust grounding, multimodal reasoning, controllable and multilingual generation, and improved evaluation methods