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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | AI IMAGE GENERATION WITH DALL-E AND STABLE DIFFUSION: A SURVEY |
| Authors Name: | Rahul Sharma , Harsh Jaiswal , Nakul Singh Jadon , Charul Bapna |
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IJNRD_216396
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| Published Paper Id: | IJNRD2403542 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | AI, Image generation, Generative, DALL-E, Diffusion, Deep learning, Optimization, Virtual, Unsupervised learning, text-to-image generation |
| Cite Article: | "AI IMAGE GENERATION WITH DALL-E AND STABLE DIFFUSION: A SURVEY", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f369-f372, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403542.pdf |
| Downloads: | 00038 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2403542 Registration ID: 216396 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: f369-f372 Country: Jaipur, Rajasthan, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403542 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403542 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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