An Interactive Image Editing System Using an Uncertainty-Based Confirmation Strategy

An Interactive Image Editing System Using an Uncertainty-Based Confirmation Strategy

We propose an interactive image editing system that has a confirmation dialogue strategy using an entropy-based uncertainty calculation on its generated images with Deep Convolutional Generative Adversarial Networks (DCGAN). DCGAN is an image generative model that learns an image manifold of a given...

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Bibliographic Details
Main Authors: Seitaro Shinagawa, Koichiro Yoshino, Seyed Hossein Alavi, Kallirroi Georgila, David Traum, Sakriani Sakti, Satoshi Nakamura
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Confirmation
generative adversarial networks
image editing
natural language interface
Online Access:https://ieeexplore.ieee.org/document/9099288/

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