Realistic Image Generation from Text by Using BERT-Based Embedding
Recently, in the field of artificial intelligence, multimodal learning has received a lot of attention due to expectations for the enhancement of AI performance and potential applications. Text-to-image generation, which is one of the multimodal tasks, is a challenging topic in computer vision and n...
Main Authors: | Sanghyuck Na, Mirae Do, Kyeonah Yu, Juntae Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/11/5/764 |
Similar Items
-
A Study on Generating Webtoons Using Multilingual Text-to-Image Models
by: Kyungho Yu, et al.
Published: (2023-06-01) -
Attentional Generative Adversarial Networks With Representativeness and Diversity for Generating Text to Realistic Image
by: Anjie Tian, et al.
Published: (2020-01-01) -
A Text Abstraction Summary Model Based on BERT Word Embedding and Reinforcement Learning
by: Qicai Wang, et al.
Published: (2019-11-01) -
A Realistic Image Generation of Face From Text Description Using the Fully Trained Generative Adversarial Networks
by: Muhammad Zeeshan Khan, et al.
Published: (2021-01-01) -
Bert-Enhanced Text Graph Neural Network for Classification
by: Yiping Yang, et al.
Published: (2021-11-01)