Revolutionizing Visuals: The Role of Generative AI in Modern Image Generation

Simple item page
dc.contributor.authorBansal, Gaurangcs
dc.contributor.authorNawal, Adityacs
dc.contributor.authorChamola, Vinaycs
dc.contributor.authorHerencsár, Norbertcs
dc.coverage.issue11cs
dc.coverage.volume20cs
dc.date.accessioned2024-12-10T13:55:32Z
dc.date.available2024-12-10T13:55:32Z
dc.date.issued2024-11-14cs
dc.description.abstractTraditional 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.en
dc.formattextcs
dc.format.extent1-22, 356cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationACM Transactions on Multimedia Computing, Communications and Applications. 2024, vol. 20, issue 11, p. 1-22, 356.en
dc.identifier.doi10.1145/3689641cs
dc.identifier.issn1551-6865cs
dc.identifier.orcid0000-0002-9504-2275cs
dc.identifier.other189308cs
dc.identifier.researcheridA-6539-2009cs
dc.identifier.scopus23012051100cs
dc.identifier.urihttps://hdl.handle.net/11012/249749
dc.language.isoencs
dc.publisherACMcs
dc.relation.ispartofACM Transactions on Multimedia Computing, Communications and Applicationscs
dc.relation.urihttps://dl.acm.org/doi/10.1145/3689641cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1551-6865/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectGenerative AIen
dc.subjectLLMsen
dc.subjectImage Generationen
dc.subjectComputingen
dc.subjectMultimedia Computingen
dc.titleRevolutionizing Visuals: The Role of Generative AI in Modern Image Generationen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-189308en
sync.item.dbtypeVAVen
sync.item.insts2024.12.10 14:55:32en
sync.item.modts2024.12.02 11:32:08en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
3689641.pdf
Size:
2.74 MB
Format:
Adobe Portable Document Format
Description:
file 3689641.pdf
Download
Collections
Ăšstav telekomunikacĂ­