vgg19

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

翻译 - 使用生成对抗网络的逼真的单图像超分辨率

#计算机科学#Tensorflow implementation of the SRGAN algorithm for single image super-resolution

ImageNet pre-trained models with batch normalization for the Caffe framework

#计算机科学#VggML (ICPR 2018, Beijing)

#计算机科学#A program that can add an artistic touch to any image.

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

#计算机科学#Multiclass image classification using Convolutional Neural Network

Neural Style implementation in PyTorch! 🎨

#计算机科学#Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

#计算机科学#Generative Adversarial Network for single image super-resolution in high content screening microscopy images

Implementation of style transfer by tensorflow, for detail please see the paper "Image Style Transfer Using Convolutional Neural Networks"(CVPR2016)

Transferring the style of one image to the contents of another image, using PyTorch and VGG19.

#计算机科学#The VGG16 and VGG19 networks in caffe with jupyter notebook

#计算机科学#Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

Pre-trained VGG-Net Model for image classification using tensorflow

Implementation of the paper : Deep image analogy

#计算机科学#

#计算机科学#Fast and Accurate User constrained Thumbnail Generation using Adaptive Convolutions. | ICASSP 2019 [ORAL]

#计算机科学#Optimal deep texture generation and style transfer based on Eric Risser's paper

Deepdream experiment implemented using Keras and VGG19 convnet