Research Article

Simplifying Ad Publishing with AI-Powered Image and Video Generation

Authors

  • Dinesh Boinpally Northwest Missouri State University, USA

Abstract

AI-powered image and video generation has transformed the advertising landscape, offering revolutionary capabilities for visual content creation. These technologies leverage deep learning algorithms and neural networks to convert textual descriptions into compelling imagery, fundamentally altering traditional production workflows. By democratizing sophisticated content creation, these systems enable businesses of all sizes to produce professional-quality advertising materials without extensive resources or specialized skills. Leading platforms including Creatopy, Picsart, Invideo AI, and Zebracat provide diverse capabilities from multi-format ad generation to e-commerce-specific visual content. These tools deliver significant advantages through computational efficiency, seamless integration with existing systems, superior quality control, and substantial cost benefits. Despite impressive capabilities, challenges persist including temporal consistency issues in longer videos, limited contextual understanding of complex brand guidelines, occasional semantic drift, and bias concerns. The field continues to advance through dataset diversification, representation balancing algorithms, multimodal training approaches, and ethical safeguards, promising increasingly sophisticated and accessible advertising content generation tools that will continue reshaping visual marketing practices.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (6)

Pages

103-112

Published

2025-06-11

How to Cite

Dinesh Boinpally. (2025). Simplifying Ad Publishing with AI-Powered Image and Video Generation. Journal of Computer Science and Technology Studies, 7(6), 103-112. https://doi.org/10.32996/jcsts.2025.7.6.14

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Keywords:

Generative AI, advertising technology, visual content automation, neural networks, brand consistency