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exuejiao's Projects

dcscn-super-resolution icon 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.

deep-photo-enhancer icon deep-photo-enhancer

TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

demosaicnet icon demosaicnet

An implementation of Deep Joint Demosaicking and Denoising - SiGGRAPH Asia 2016

dped icon dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

drrn_cvpr17 icon drrn_cvpr17

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

edsr-tensorflow icon edsr-tensorflow

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

enhancenet-code icon enhancenet-code

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

enhancer icon enhancer

Convolutional network for image resolution enhancing based on Tensorflow framework.

faceswap icon faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

feqe icon feqe

Official code (Tensorflow) for paper "Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks"

ganimation icon ganimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

hdrcnn icon hdrcnn

HDR image reconstruction from a single exposure using deep CNNs

hdrnet icon hdrnet

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

image-reversion icon image-reversion

A Python implementation of a GAN in Tensorflow to be used as part of an investigation into how image enhancements could be removed using deep learning.

ml icon ml

ML related stuff

mobile-dcscn icon mobile-dcscn

This is a mobile implementation of the model described in paper https://arxiv.org/pdf/1707.05425.pdf and implemented in https://github.com/jiny2001/dcscn-super-resolution

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