Synopsis
Generative Adversarial Networks (GANs) are transforming the field of artificial intelligence by enabling the creation of highly realistic images, pushing the boundaries of creativity and automation. These models have vast applications, from art and design to medical imaging and data augmentation, offering new possibilities across industries. Understanding GANs is essential for harnessing their potential while addressing challenges like ethical considerations and model biases. As AI-generated content becomes more prevalent, mastering these technologies will be crucial for researchers, developers, and creatives shaping the future of digital innovation. Crafting Images With Generative Adversarial Networks (GANs) and Models demystifies the complexities of GANs and provides a solid foundation for understanding and leveraging these powerful generative models. It also explores real-world applications of GANs across diverse domains, including art generation, image editing, and content creation. Covering topics such as photorealism, text-to-image, and attention mechanisms, this book is an excellent resource for data scientists, computer vision researchers, AI engineers, graphic designers, media professionals, industry practitioners, professionals, researchers, scholars, academicians, and more.
À propos des auteurs
Parul Dubey is currently working as an Assistant Professor in Department of Computer Science and Engineering, Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), Pune, India. Authors highest degree is PhD. in Computer Science and Engineering at C.V. Raman University, Bilaspur, Chhattisgarh, India. She has good academic and research experience in various areas of CSE and IT. She has a teaching experience of four years. She is indulged in research activities which includes book chapters, books, conference papers and journal articles as well. She has 15 Indian published patents and 1 Indian Granted patent. She holds around 45 publications which are part of conferences, scopus and other journals as well. Author is an AWS Certified Cloud Practitioner badge holder, which is a proof for the expertise in AWS. Currently guiding many Engineering students to learn the AWS platform and complete their projects. She has two authored books from international publishers. She has three edited books from international publishers.
Sapna Singh Kshatri received the Ph.D. degree from MATS University, Raipur. She has completed her M.C.A. from Rungta College of Eng. & Technology Bhilai, India. She was Assistant Professor in Ashoka Institute technology and management. She is Head of Department Of computer science In Bharti University Durg. Recently She is working as Assistant Professor in Shri Shankaracharya Institute of Professional Management and Technology (SSIPMT), In Artificial Intelligence and Machine Learning Department. She has 6 years of teaching and academic experience over 15 research article, chapters, and national and international conference and papers, published international book in IGI global, wiley, Bentham and IIP. She is received Best Paper Awards in International Conferences. She has delivered more than 5 Keynote/Invited Talks and Chaired many Technical Sessions in International/ national Conferences. She has reviewed many papers in reported journals like IEEE, IET, Oxford. Her research interests include Bio-medical, Machine Learning, and Data Science.
Devanand Bhonsle received his B.E. in Electronics & Telecommunication (ETC) from Pt. Ravishankar Shukla University (PRSU), Raipur in 2004, M. E. (ETC) from CSVTU, Bhilai in 2008 and Ph.D. (ETC) from CSVTU, Bhilai in 2019. Recently he is working as Sr. Assistant Professor in Shri Shankaracharya Technical Campus (SSTC), Bhilai with experience of 18 years and 7 months. His research area is digital signal and image processing, solar Energy and Internet of Things. He published 50 research papers in various journals and conferences. He authored 8 book chapters and 1 book in reputed publications. He is the reviewer in IEEE access, IET image processing, Electronics letters and IGI global publications. He is the professional member of IFERP.
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