LinZhineng

BasicSR

Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.

cp11fall_project1

Implementation of Edge-Preserving Multiscale Image Decomposition Based on Local Extrema

CVPR18-SFTGAN

Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

demosaicnet

SiGGRAPH Asia 2016

ESRGAN

Enhanced SRGAN, ECCV2018 PIRM Workshop

faster_rcnn

Faster R-CNN

GenerativePredictableVoxels

Code release for ECCV16 paper "Learning a Predictable and Generative Vector Representation for Objects"

gman

A ruby gem to check if the owner of a given email address or website is working for THE MAN (a.k.a verifies government domains).

GMAN-1

GANs with multiple Discriminators

hdr-plus

HDR+ Implementation

imgaug

Image augmentation for machine learning experiments.

improved-gan

code for the paper "Improved Techniques for Training GANs"

IRCNN

IRCNN Image denoise

linzhineng.github.io

lsgan

This is the project for LS-GAN (Loss-Sensitive GAN)

MNC

Instance-aware Semantic Segmentation via Multi-task Network Cascades

MTCNN_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

PhotographicImageSynthesis

Photographic Image Synthesis with Cascaded Refinement Networks

R-FCN

R-FCN: Object Detection via Region-based Fully Convolutional Networks

retina-unet

Retina blood vessel segmentation with a convolutional neural network

SideWindowFilter

Side sindow is better than Full window

siggraph2017_inpainting

Code for the paper 'Globally and Locally Consistent Image Completion'. http://hi.cs.waseda.ac.jp/~iizuka/projects/completion/

SPMC_VideoSR

Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738

SRMD

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018)

TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

tensorflow-fcn

An Implementation of Fully Convolutional Networks in Tensorflow.

tensorflow-vgg

Tensorflow implementation of VGG 16 and VGG 19

variational-autoencoder

generate MNIST using a Variational Autoencoder