Publication detail
Revolutionizing Visuals: The Role of Generative AI in Modern Image Generation
BANSAL, G. NAWAL, A. CHAMOLA, V. HERENCSÁR, N.
Original Title
Revolutionizing Visuals: The Role of Generative AI in Modern Image Generation
Type
journal article in Web of Science
Language
English
Original Abstract
Traditional multimedia experiences are undergoing a transformation as Generative AI integration fosters enhanced creative workflows, streamlines content creation processes, and unlocks the potential for entirely new forms of multimedia storytelling. It has potential to generate captivating visuals to accompany a documentary based solely on historical text descriptions, or creating personalized and interactive multimedia experiences tailored to individual user preferences. From the high-resolution cameras in our smartphones to the immersive experiences offered by the latest technologies, the impact of generative imaging undeniable. This study delves into the burgeoning field of Generative AI, with a focus on its revolutionary impact on image generation. It explores the background of traditional imaging in consumer electronics and the motivations for integrating AI, leading to enhanced capabilities in various applications. The research critically examines current advancements in state-of-the-art technologies like DALL-E 2, Craiyon, Stable Diffusion, Imagen, Jasper, NightCafe, and Deep AI, assessing their performance on parameters such as image quality, diversity, and efficiency. It also addresses the limitations and ethical challenges posed by this integration, balancing creative autonomy with AI automation. The novelty of this work lies in its comprehensive analysis and comparison of these AI systems, providing insightful results that highlight both their strengths and areas for improvement. The conclusion underscores the transformative potential of Generative AI in image generation, paving the way for future research and development to further enhance and refine these technologies. This paper serves as a critical guide for understanding the current landscape and future prospects of AI-driven image creation, offering a glimpse into the evolving synergy between human creativity and artificial intelligence.
Keywords
Generative AI; LLMs; Image Generation; Computing; Multimedia Computing
Authors
BANSAL, G.; NAWAL, A.; CHAMOLA, V.; HERENCSÁR, N.
Released
14. 11. 2024
Publisher
ACM
Location
NEW YORK
ISBN
1551-6865
Periodical
ACM Transactions on Multimedia Computing, Communications and Applications
Year of study
20
Number
11
State
United States of America
Pages from
356:1
Pages to
356:22
Pages count
22
URL
Full text in the Digital Library