VeroHU's repositories
supervised_blur_kernel_estimation
If you have the original image and the blurred image, you can use this code to estimate the blur kernel.
verovero_perceptual_loss_for_SR
perceptual loss with keras: comparing the loss of features between generated and reference images. The features are extracted from VGG19.
Unet-of-remote-sensing-image
The semantic segmentation of remote sensing images
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
Bayesian_CNN
Bayes by Backprop implemented in a CNN
deep-image-prior
Image restoration with neural networks but without learning.
EnhanceNet-Code
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)
TOFEL_IELTS_GRE_my-Learning-materials-
托福雅思GRE和GMAT资料
ZF_UNET_224_Pretrained_Model
Modification of convolutional neural net "UNET" for image segmentation in Keras framework
ZSSR
"Zero-Shot" Super-Resolution using Deep Internal Learning
Language:PythonNOASSERTION000