Controllable Image Dataset Construction Using Conditionally Transformed Inputs in Generative Adversarial Networks

Controllable Image Dataset Construction Using Conditionally Transformed Inputs in Generative Adversarial Networks

In this paper, we tackle the well-known problem of dataset construction from the point of its generation using generative adversarial networks (GAN). As semantic information of the dataset should have a proper alignment with images, controlling the image generation process of GAN comes to the first...

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Bibliographic Details
Main Authors: Farkhod Makhmudkhujaev, Junseok Kwon, In Kyu Park
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Dataset construction
conditional image generation
generative adversarial networks
conditional transformation
Online Access:https://ieeexplore.ieee.org/document/9585485/

Internet

https://ieeexplore.ieee.org/document/9585485/

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