SRCNN

CellStrat > Research/Blog > SRCNN
19
Feb
1
Photo-Realistic Single Image Super-Resolution using SRGAN

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars #AlwaysUpskilling Last Saturday (15th Feb 2020) our AI Lab Team Lead Abdul Azeez presented a superb hands-on workshop on Super-Resolution GANs or SRGANs as they are called. SRGANs are very useful to increase the resolution in images (or create super-resolved images). Basic GAN :- GANs or Generative Adversarial Networks are generative models […]

Posted in: Computer Vision, Deep Learning, Generative Modeling,
Tags: Adversarial Loss, Content Loss, ESPCN, GAN, generative modelling, Generator Loss, Perceptual Loss, Pixel shuffle, PSNR, Single Image Super Resolution, SISR, SRCNN, SRGAN, SSIM, Super Resolution GAN, VDSR,