Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
#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#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
Transferring the style of one image to the contents of another image, using PyTorch and VGG19.
Implementation of style transfer by tensorflow, for detail please see the paper "Image Style Transfer Using Convolutional Neural Networks"(CVPR2016)
#计算机科学#Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Implementation of the paper : Deep image analogy
Pre-trained VGG-Net Model for image classification using tensorflow
#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
#计算机科学#Multi-Sensor Image (infrared and visible) Fusion using deep learning framework, Principal Component Analysis, Discrete Wavelet Transform