A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
CVPR2014-Convolutional neural networks for no-reference image quality assessment
pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.
Python code to compute features of classic Image Quality Assessment models
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
Median Filtered Image Restoration and Anti-Forensics Using Adversarial Networks
Stéganô is a pure Python steganography module. Different methods of steganography and steganalysis are provided.