hjc1009jin's repositories
BIMEF
Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)
deeplearning-models
A collection of various deep learning architectures, models, and tips
EnlightenGAN
[Preprint] "EnlightenGAN: Deep Light Enhancement without Paired Supervision"
Exclusively-Dark-Image-Dataset
Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.
JED-Method
low-light enhancement and denoising
KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN
KinD
Kindling the Darkness: a Practical Low-light Image Enhancer
KinD_plus
Beyond Brightening Low-light Images
Learning-to-See-in-the-Dark
Learning to See in the Dark. CVPR 2018
MBLLEN
Code for “MBLLEN: Low-light Image/Video Enhancement Using CNNs”, BMVC 2018.
models
Models and examples built with TensorFlow
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
RemoteSensingMatching-DeepMatching
Two remote sensing image matching of different sizes based on deep convolution matching algorithm（Deep Matching）
RetinexNet
A Tensorflow implementation of RetinexNet
Single-Image-Dehazing-Four-Methods
On the one hand, this project used two classic algorithm of contrast enhancement, homomorphic filtering and contrast limited adaptive histogram equalization to accomplish the task of image dehazing. On the other hand, from the perspective of degradation model, this project used two methods based on Dark Channel Prior algorithm.
tensorflow
An Open Source Machine Learning Framework for Everyone
tflearn
Deep learning library featuring a higher-level API for TensorFlow.
Vital_release
VITAL: VIsual Tracking via Adversarial Learning
Zero-DCE
Zero-DCE code and model