Adversarial Learning for Text Image Semantic Consistency Using Deep Fusion (DF-GAN)

Sujata Virulkar, Sujata Virulkar, Kanchan Tiwari

2025

Abstract

Painting is not just a visual art, but also a human creation. Researchers have been hard at work developing AI systems that can mimic human intellect and carry out tasks previously thought impossible, such as facial recognition, text production, and even artistic creation. Meanwhile, deep convolutional generative adversarial networks (GANs) have started producing visually arresting pictures in select categories. To achieve these goals, we present a Deep Fusion Generative Adversarial Networks that is both easier to implement and more successful in its applications (DF-GAN). To be more precise, we propose (i) exotic fusion block of Deep Text-Image, which make possible understand the fusion process to make a full fusion between text and images, (ii) a exotic Target-aware discriminator combination of One-Way Output and matching aware penalty gradient, that improves the semantic consistency for text-image not either introducing additional networks, and (iii) exotic one-stage text-image We find that the proposed DF-GAN performs the state-of-the-art algorithms on popular datasets, while being more straightforward and efficient in its ability to generate natural-looking and text-matching synthetic pictures.

Paper Citation

in Harvard Style

Virulkar S. and Tiwari K. (2025). Adversarial Learning for Text Image Semantic Consistency Using Deep Fusion (DF-GAN). In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 514-522. DOI: 10.5220/0013595900004664

in Bibtex Style

@conference{incoft25,
author={Sujata Virulkar and Kanchan Tiwari},
title={Adversarial Learning for Text Image Semantic Consistency Using Deep Fusion (DF-GAN)},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={514-522},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013595900004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - Adversarial Learning for Text Image Semantic Consistency Using Deep Fusion (DF-GAN)
SN - 978-989-758-763-4
AU - Virulkar S.
AU - Tiwari K.
PY - 2025
SP - 514
EP - 522
DO - 10.5220/0013595900004664
PB - SciTePress