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caffe

Ristretto: Caffe-based approximation of convolutional neural networks.

caffe-vdsr

A Caffe-based implementation of very deep convolution network for image super-resolution

caffe_dfp

Caffe including dynamic fixed points used in JVET-I0022

caffe_srgan

A Caffe Implementation of SRGAN

deep-residual-networks

Deep Residual Learning for Image Recognition

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

dpns

Dual Path Networks

drrn_cvpr17

Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"

ds-cnn

ffmpeg

Mirror of git://source.ffmpeg.org/ffmpeg.git

libde265

Open h.265 video codec implementation.

ntire2017

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

openhevc

HEVC decoder

resnet-1k-layers

Deep Residual Networks with 1K Layers

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

senet

Squeeze-and-Excitation Networks

srcnn

Source: http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html

srgan

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

super-resolution

collection of super-resolution models & algorithms

super-resolution-1

图像超分辨率算法的实现

x265

https://bitbucket.org/multicoreware/x265/ git mirror

xception-caffe

Xception implemented with caffe