Year: 2024
Type: article
Abstract: Recent advancements in artificial intelligence, particularly in computer vision and deep learning, have led to the emergence of numerous generative AI platforms that have the ability to create high-quality artistic media, including visual art, concept art and digital illustrations.These generative AI tools have the potential to fundamentally alter the creative processes by which artists and designers formulate ideas and bring them into fruition.However, the application of these AI-generated image tools in the field of graphic design has not been extensively explored.The realm of multimedia is being revolutionized by the advent of Generative AI, which is reshaping creative workflows, simplifying content creation and unlocking new avenues for multimedia storytelling.This technology holds the promise of producing enthralling visuals for documentaries from mere historical texts or crafting personalized, interactive multimedia experiences that cater to individual preferences.The influence of generative imaging is palpable, from the high-resolution cameras in our smartphones to the immersive experiences crafted by cutting-edge technologies.This study ventures into the dynamic domain of Generative AI, spotlighting its groundbreaking role in image generation.It delves into the evolution of traditional imaging in consumer electronics and the impetus behind AI integration, which has significantly expanded application capabilities.The research meticulously evaluates the latest breakthroughs in leading-edge technologies such as DALL-E 2, Craiyon, Stable Diffusion, Imagen, Jasper, Night Cafe and Deep AI, gauging their performance based on image quality, variety and efficiency.It also contemplates the constraints and moral dilemmas introduced by this fusion, seeking a harmony between human ingenuity and AI-driven automation.This study stems from its thorough analysis and juxtaposition of these AI platforms, yielding perceptive findings that illuminate their merits and potential enhancements.The conclusion accentuates the transformative power of Generative AI in the sphere of image generation, setting the stage for subsequent research and innovation to further advance and polish these technologies.This paper acts as an essential resource for grasping the present state and future directions of AI-enabled image creation, providing a window into the burgeoning collaboration between human artistry and machine intelligence.
Authors: Ranjith Gopalan, Gopikrishna Kalpinagarajarao
Institutions: Cognizant (United States), Cardinal Health (United States)
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4404278082