Visual Thinking of Neural Networks: Interactive Text to Image Synthesis

Visual Thinking of Neural Networks: Interactive Text to Image Synthesis

Reasoning, a trait of cognitive intelligence, is regarded as a crucial ability that distinguishes humans from other species. However, neural networks now pose a challenge to this human ability. Text-to-image synthesis is a class of vision and linguistics, wherein the goal is to learn multimodal repr...

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Bibliographic Details
Main Authors: Hyunhee Lee, Gyeongmin Kim, Yuna Hur, Heuiseok Lim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Generative adversarial networks
image generation
multimodal learning
multimodal representation
text-to-image synthesis
Online Access:https://ieeexplore.ieee.org/document/9410550/

Internet

https://ieeexplore.ieee.org/document/9410550/

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