Browsing by Subject "GAN"
Now showing items 1-8 of 8
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A comparative study of car image generation quality using DCGAN and VSGAN
(Brac University, 2022-05)In today’s modern society, image generation (synthesis) has a great number of uses in various tasks. Image generation is used in crime forensics, improving image quality and generating better images. In 2014, a scientific ... -
A GAN-based federated learning architecture for data augmentation of medical images
(Brac University, 2022-09)n the medical industry, the availability of precise data limits the scope of deep learn ing applications. Institutional norms restrict hospitals and research facilities owing to privacy concerns. Therefore, data collection ... -
Generating and compressing images from a large volume of discrete datasets using GANs along with different compression techniques and studying the results
(Brac University, 2022-09-22)Image is among the most common and important factors in modern day research. From Image processing to Image synthesis all the aspects of image are necessary and have always been prioritized. For this we tried to incorporate ... -
Generation of realistic images from human drawn sketches using deep learning
(Brac University, 2022-01)Processing sketches to produce realistic images is an intriguing idea in the world of emerging Artificial Intelligence. We present a Generative Adversarial Network (GAN) based methodology that creates satisfactory images ... -
An improved deepfake detection using deep learning
(Brac University, 2022-09-28)With the emergence of Generative Models for creating Deepfake images, and videos of high quality, which are extremely realistic and hard to recognize, several social, and political issues have come to light. DeepFakes ... -
Normalizing images in various weather and lighting conditions using Pix2Pix GAN
(Brac University, 2024-01)Autonomous vehicles are widely regarded as the future of transportation due to its possible uses in a myriad of applications. In recent years, perception systems in driverless cars have had reasonable development through ... -
Skin cancer classification for seven types of skin lesions
(Brac University, 2023-05)Machine learning (ML) for skin lesion identification employs algorithms, notably convolutional neural networks (CNNs), to categorize and detect skin lesions, aiming to enhance early detection and treatment of skin cancer. ... -
Surrounding-aware screen-space-global-illumination using generative adversarial network
(Brac University, 2022-09-20)Global Illumination is a strategy in computer graphics to add certain degree of realism in case of 3D scene lighting, by trying to emulate how light rays work in real life. Several approaches exists to achieve such kind ...
