Loading...
Journal Title
Readers/Advisors
Shablinsky, Irina R.
Journal Title
Term and Year
Spring 2023
Publication Date
2023
Book Title
Publication Volume
Publication Issue
Publication Begin
Publication End
Number of pages
Collections
Files
Loading...
6170_Rachel_Molina.pdf
Adobe PDF, 2.05 MB
Research Projects
Organizational Units
Journal Issue
Abstract
The creative industry has been in turmoil since artificial intelligence (AI) has begun to
generate its “own art.” But AI was not always this intelligent, there are many past models that
are milestones in AI’s journey to image generation based on text prompts. Programs like
OpenAI’s DALL-E* are able to generate an image based on a user’s text prompt, using a
Contrastive Language-Image Pre-Training (CLIP) model, a diffusion model, and a prior model.
Other programs created by smaller organizations or individuals, use some sort of image
generator such as a generative adversarial network (GAN) plus CLIP to generate images based
on text prompts. These AI programs have led to discussions regarding the legitimacy, or
originality of these images, and the data images used to train the programs.
Citation
DOI
Description
Accessibility Statement
Purchase College - State University of New York (PC) is committed to ensuring that people with disabilities have an opportunity equal to that of their nondisabled peers to participate in the College’s programs, benefits, and services, including those delivered through electronic and information technology. If you encounter an access barrier with a specific item and have a remediation request, please contact lib.ir@purchase.edu.
