Text2human: Text-driven controllable human image generation

Y Jiang, S Yang, H Qiu, W Wu, CC Loy… - ACM Transactions on …, 2022 - dl.acm.org
Generating high-quality and diverse human images is an important yet challenging task in
vision and graphics. However, existing generative models often fall short under the high …

[HTML][HTML] Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review

A Goti, L Querejeta-Lomas, A Almeida, JG de la Puerta… - Mathematics, 2023 - mdpi.com
Many industries, including healthcare, banking, the auto industry, education, and retail, have
already undergone significant changes because of artificial intelligence (AI). Business-to …

Customer models for artificial intelligence-based decision support in fashion online retail supply chains

AM Pereira, JAB Moura, EDB Costa, T Vieira… - Decision Support …, 2022 - Elsevier
Fashion is a global, multi-trillion dollar industry devoted to producing and selling clothing,
footwear, and accessories to individuals or groups of people. Its sheer numbers, together …

A survey on generative adversarial network-based text-to-image synthesis

R Zhou, C Jiang, Q Xu - Neurocomputing, 2021 - Elsevier
The task of text-to-image synthesis is a new challenge in the field of image synthesis. In the
earlier research, the task of text-to-image synthesis is mainly to achieve the alignment of …

Challenges and Opportunities in Deep Learning Driven Fashion Design and Textiles Patterns Development

D Simian, F Husac - … Conference on Modelling and Development of …, 2022 - Springer
Creative industries were thought to be the most difficult avenue for Computer Science to
enter and to perform well at. Fashion is an integral part of day to day life, one necessary both …

基于自注意力机制的文本生成单目标图像方法.

鞠思博, 徐晶, 李岩芳 - Journal of Computer Engineering & …, 2022 - search.ebscohost.com
基于自然语言描述的图像合成已成为人工智能领域中的研究热点. 借助生成对抗网络,
该领域在高分辨率图像合成方面取得了长足的发展. 然而, 合成单目标图像在真实性上仍存在 …

Text Augmentation Using Hierarchy-based Word Replacement

M Kim, N Kim - Journal of The Korea Society of Computer and …, 2021 - koreascience.kr
Recently, multi-modal deep learning techniques that combine heterogeneous data for deep
learning analysis have been utilized a lot. In particular, studies on the synthesis of Text to …

Object-Orient Semantic-to-Visual Generation Model for Stickers Synthetizing

X Li, B Li, C Xie, Q Liu - 2021 4th International Conference on …, 2021 - ieeexplore.ieee.org
Stickers are used by social users to express online chat. The retrieval, matching, and
generation of stickers have significant research and application value. However, the current …

텍스트· 데이터마이닝과정의저작물이용면책규정신설안에대한소고-적대적생성신경망에의적용

김성원, 최상민, 이수원 - 지식재산연구, 2023 - kiss.kstudy.com
문화체육관광부의 저작권법 전부개정안과 도종환 의원이 대표 발의한 저작권법
전부개정법률안에는 정보분석을 위한 복제· 전송 허용조항이 도입되었다. 인공지능과 빅데이터 …

단어계층기반텍스트데이터증강방법론

김무성, 김남규 - 한국컴퓨터정보학회논문지, 2021 - dbpia.co.kr
최근 딥 러닝 (Deep Learning) 분석에 이질적인 데이터를 함께 사용하는 멀티모달 (Multi-
modal) 딥러닝 기술이 많이 활용되고 있으며, 특히 텍스트로부터 자동으로 이미지를 …