DALL. E 2

None Sudershan Manasvi Malhar
{"title":"DALL. E 2","authors":"None Sudershan Manasvi Malhar","doi":"10.32628/cseit239052","DOIUrl":null,"url":null,"abstract":"DALL.E 2 is a language model developed by OpenAI, which builds on the original DALL.E model. DALL.E is a neural network that can generate images from textual descriptions, allowing users to input written prompts and receive corresponding images. DALL.E 2 is an improved version of this technology, which has been trained on a larger and more diverse dataset, allowing it to generate more complex and varied images. DALL.E 2 can generate a wide variety of images, including objects, scenes, animals, and more, and can produce images that are surreal, humorous, or just plain bizarre. DALL·E 2 can understand the meaning of text and create images that match that meaning. This technology has many potential applications, from creative visual art to product design and advertising.","PeriodicalId":313456,"journal":{"name":"International Journal of Scientific Research in Computer Science, Engineering and Information Technology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Scientific Research in Computer Science, Engineering and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32628/cseit239052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24

Abstract

DALL.E 2 is a language model developed by OpenAI, which builds on the original DALL.E model. DALL.E is a neural network that can generate images from textual descriptions, allowing users to input written prompts and receive corresponding images. DALL.E 2 is an improved version of this technology, which has been trained on a larger and more diverse dataset, allowing it to generate more complex and varied images. DALL.E 2 can generate a wide variety of images, including objects, scenes, animals, and more, and can produce images that are surreal, humorous, or just plain bizarre. DALL·E 2 can understand the meaning of text and create images that match that meaning. This technology has many potential applications, from creative visual art to product design and advertising.
(。(2)
达尔。e2是由OpenAI开发的语言模型,它建立在原始的DALL之上。E模型。达尔。E是一个神经网络,可以从文本描述生成图像,允许用户输入书面提示并接收相应的图像。达尔。e2是该技术的改进版本,它已经在更大、更多样化的数据集上进行了训练,使其能够生成更复杂、更多样化的图像。达尔。e2可以生成各种各样的图像,包括物体、场景、动物等等,并且可以生成超现实的、幽默的或纯粹奇怪的图像。DALL·e2可以理解文本的含义,并创建与该含义相匹配的图像。这项技术有许多潜在的应用,从创造性的视觉艺术到产品设计和广告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信