Revolutionizing Visuals: The Role of Generative AI in Modern Image Generation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU151892" target="_blank" >RIV/00216305:26220/24:PU151892 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/doi/10.1145/3689641" target="_blank" >https://dl.acm.org/doi/10.1145/3689641</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3689641" target="_blank" >10.1145/3689641</a>
Alternative languages
Result language
angličtina
Original language name
Revolutionizing Visuals: The Role of Generative AI in Modern Image Generation
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ACM Transactions on Multimedia Computing, Communications and Applications
ISSN
1551-6857
e-ISSN
1551-6865
Volume of the periodical
20
Issue of the periodical within the volume
11
Country of publishing house
US - UNITED STATES
Number of pages
22
Pages from-to
„356:1“-„356:22“
UT code for WoS article
001386409900001
EID of the result in the Scopus database
2-s2.0-85209691020