Browsing by Subject "GAN"

Now showing items 1-6 of 6

    • A comparative study of car image generation quality using DCGAN and VSGAN 

      Shayer, Mirza Ahmad; Anjum, Nafisha; Mim, Sushana Islam; Chowdhury, Md. Abu Sajid; Preoshi, Noshin Nanjiba Islam (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 

      Al Rakin, Abdullah; Iqbal Majumder, MD. Akib; Kabir, Mohammad Farhan; Arafin, Rudmila (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 

      Sajid, Mayeen Abedin; Jisan, Md. Tanvir Mahtab; Reza, Syeda Nowrin; Jueb, Ashraf Mufidul Islam; Meem, Tahmin Khandaker (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 

      Mahbub, Mohammed Julfikar Ali; Rahmatullah, S. Afsan; Rahman, G M Sohanur; Zillanee, Abu Hasnayen; Akib, Aknur Kamal (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 

      Paul, Annay; Dey, Binayak Kumar; Mostafa, Md; Mosfakin, Maharin; Tonika, Rukshana Amin (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 ...

    • Surrounding-aware screen-space-global-illumination using generative adversarial network 

      Mahmud, Abrar; Sifar, Alimus; Rahman, Moh. Absar; Mostafa, Fateen Yusuf; Tasnova, Lamia (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 ...