"Singing is not an ability that all humans have grasped at a level to perform in a professional manner. While most people involved in the entertainment industry are accustomed to singing, there can be instances where an ...
Machine Learning as a subset of Artificial Intelligence or AI enables machines to simulate certain human behaviors without explicit programming. In simple terms machine learning is learning from the given data sample and ...
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Rain streaks are considered as a disturbance or a noise which cause performance or
accuracy limitations in many computer vision systems. This obstructing rain streak
problem is addressed within the domain of “De-raining”. ...
"In the swiftly evolving landscape of online education, understanding and enhancing student
engagement has emerged as a critical challenge. However, traditional methods often fail to
provide a comprehensive understanding ...
"Text Generation is the task associated with predicting the next word serially and continuously for a given a sequence of text data utilizing language models. A primary use of text generation is data synthesis. Availability ...
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In the domain of the generative modelling since the first introduction of Generative
Adversarial Networks (GANs) in 2014, GANs and its variations are identified as the
finest image generative models in the state-of-art ...
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Semantic image segmentation is a crucial task in various fields that use computer-vision based
applications. Generative Adversarial Networks (GANs) are attracting widespread interest in
the data science community ...
Generative Adversarial Networks (GAN) have attained remarkable results in image
augmentation and generation. GAN models consist of Latent space vectors. Latent space
vectors are interpreted as inputs for the generator ...
"Despite rapid advances in medical imaging technology, the imaging devices and techniques employed impact medical image quality due to practical and safety constraints. Super-Resolution, widely studied in medical imaging, ...
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Generative Adversarial Networks of GANs are a Machine Learning Framework that
have been rising in popularity in the research domain due to its vast generation
capabilities. This allows the generative models to learn ...
Gan architectures are getting popular in image generation and reconstruction domains due to its capabilities on discriminating and generating realistic images. GAN architectures are able to generate images according to the ...
"The current practices of Art Therapy consist of several unavoidable complications. Age
group, severe mental health conditions, personality disorders, and demography are some of the major reasons that these problems ...
"This research thesis focuses on the task of using Generative Adversarial Networks (GANs) to produce realistic images from text descriptions. The primary goal of this work is to address the research gap in the field of ...