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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21470
Article Published : 8508
Total Authors : 22383
Total Reviewer : 805
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| Paper Title: | Exploring Realistic Image Synthesis using Deep Convolutional GANs |
| Authors Name: | Lakshmi Sahithi Yalamarthi , Mohan Lakshmi Deepak Marrapu , Amrutha Seethepalli , Sunny Nalluri |
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IJRTI_189641
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| Published Paper Id: | IJRTI2404091 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | In the field of Computer Vision the text-to-image synthesis is a challenging task involving the generation of realistic images from textual descriptions. Deep Convolutional Generative Adversarial Networks (DCGANs) have emerged as a powerful framework for addressing this problem. DCGANs, originally designed for image generation, consist of a generator and a discriminator network. The generator employs transposed convolutional layers to transform random noise vectors into realistic images, while the discriminator learns to differentiate between real images and those generated by the generator. DC GANs are generally more efficient in terms of training speed. DCGANs utilize convolutional layers in both the generator and the discriminator networks for text-to-image synthesis,the approach in it incorporates textual descriptions as conditioning information during image generation. By using text embeddings with the generator's input, the model learns to generate images that capture the labels of the provided text. This textual conditioning guides the generation process, resulting in images that are coherent with the given textual input. |
| Keywords: | Computer Vision, Deep learning, Deep Convolutional GAN(DC GAN), Convolutional Layers, Realistic images, Text to image generation |
| Cite Article: | "Exploring Realistic Image Synthesis using Deep Convolutional GANs", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.650 - 657, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404091.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2404091
Registration ID:189641
Published In: Volume 9 Issue 4, April-2024
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Page No: 650 - 657 Country: Krishna, Andhra Pradesh, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404091 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404091 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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