AI IMAGE GENERATION WITH DALL-E AND STABLE DIFFUSION: A SURVEY

Registration ID: IJNRD_216396

Published ID: IJNRD2403542

DOI: Click Here to Get

Rahul Sharma , Harsh Jaiswal , Nakul Singh Jadon , Charul Bapna

AI, Image generation, Generative, DALL-E, Diffusion, Deep learning, Optimization, Virtual, Unsupervised learning, text-to-image generation

Image generation has advanced significantly because of recent advances in artificial intelligence (AI), allowing machines to produce realistic photographs that nearly match those taken by humans. A thorough overview of AI image creation models is given in this survey, with an emphasis on the models' architectures, training methods, and applications. We categorize these models, along with their extensions and modifications, we categorize these models as the Stable Diffusion model and the DALL-E model. We go over the fundamental ideas of each model class and highlight their salient features and competencies. In addition, we offer a comparison of these models according to their scalability and computational complexity. Furthermore, we investigate the uses of image generation in a variety of industries, such as entertainment, fashion, content creation and design for demonstrating the usefulness and promise of these models in real-world contexts. Lastly, we analyze the drawbacks and limitations of the models currently used by AI to generate images and suggest future lines of inquiry to resolve these problems and improve AI's ability to produce realistic images.

Published Paper   E-Certificate

Rahul Sharma, Harsh Jaiswal, Nakul Singh Jadon, & Charul Bapna (March-2024). AI IMAGE GENERATION WITH DALL-E AND STABLE DIFFUSION: A SURVEY. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), f369-f372. https://ijnrd.org/papers/IJNRD2403542.pdf

Volume 9 Issue 3, March-2024

Pages : f369-f372

Paper Reg. ID: IJNRD_216396

Published Paper Id: IJNRD2403542

Downloads: 000121983

Research Area: Computer Science & Technology 

Country: Jaipur, Rajasthan, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403542.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403542

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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