Year: 2023
Type: conference-paper
Abstract: Thanks to independent advances in language and image generation we could soon be in the position to have systems that communicate with humans by combining language and images in their output, a skill that humans do not possess (we receive, but do not produce images at high speed). The paper explores some of the implications of this idea: which kinds of data sets need to be developed to train such systems, in which cases language and images could be most usefully integrated and which issues could arise on the image generation and language+image integration side.
Author: Zamparelli R.
Institution: University of Trento
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7004871171