Generative AI meets semantic communication: Evolution and revolution of communication tasks
While deep generative models are showing exciting abilities in computer vision and natural
language processing, their adoption in communication frameworks is still far …
language processing, their adoption in communication frameworks is still far …
Semantic MIMO Systems for Speech-to-Text Transmission
Semantic communications have been utilized to execute numerous intelligent tasks by
transmitting task-related semantic information instead of bits. In this article, we propose a …
transmitting task-related semantic information instead of bits. In this article, we propose a …
Rethinking Multi-User Semantic Communications with Deep Generative Models
In recent years, novel communication strategies have emerged to face the challenges that
the increased number of connected devices and the higher quality of transmitted information …
the increased number of connected devices and the higher quality of transmitted information …
Enhanced deep learning approach for text to image conversion using Lip movements
A Karthikeya, AA Kumar, C Manicharan… - … in Technology and …, 2024 - ieeexplore.ieee.org
The process of utilizing deep neural networks to extract speech from voiceless video is
known as lip reading. This study looks into how to improve the precision and dependability …
known as lip reading. This study looks into how to improve the precision and dependability …
AI Innovator: Text to Image Generation using GAN
M Nimbarte, A Hussain, K Budhlani… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This review provides a comprehensive review of the latest approaches and advances in text-
to-image processing using artificial neural networks (GANs). The work under review uses …
to-image processing using artificial neural networks (GANs). The work under review uses …
Ganic Vision: GAN-based Image Reconstruction and Attribute Manipulation
S Kalaiyarasan, A Solanki… - … on Cognitive Robotics …, 2024 - ieeexplore.ieee.org
Deep learning methods have been used more and more in the past few years to solve
problems with image creation, modification, and reconstruction but current models frequently …
problems with image creation, modification, and reconstruction but current models frequently …