Browsing Department of Computer Science and Engineering by Subject "GAN"
Now showing items 1-3 of 3
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DEEP LEARNING METHODS FOR IMAGE RESTORATION AND RECONSTRUCTION
(2021-04-19)The problem of image reconstruction and restoration refers to recovering the clean images from corrupted ones. Corruption or degradation can occur due to atmospheric conditions such as rain, fog, mist, snow, dust, and air ... -
LOW-DOSE CT IMAGE DENOISING USING DEEP LEARNING METHODS
(2021-05-07)Low-dose computed tomography (LDCT) has raised highly attention since the counterpart, full-dose computed tomography (FDCT), brings potential ionizing radiation influence to patients. However, LDCT still suffers from several ... -
STRUCTURE AWARE HUMAN POSE ESTIMATION USING ADVERSARIAL LEARNING
(2021-05-10)Pose estimation using Deep Neural Networks (DNNs) has shown outstanding performance in recent years, due to the availability of powerful GPUs and larger training datasets. However, there are still many challenges due to ...