JinliEmma's repositories
ADNet
Pytorch implementation of ADNet. (The winning method of the first edition of NTIRE2021 Multi-Frame HDR Challenge)
ADNet-1
Attention-guided CNN for image denoising(Neural Networks,2020)
AISP_NR
2D AI-NR model for raw images, including dataset、training、infer.
Awesome-Image-Distortion-Correction
A curated list of resources on handling Rolling Shutter effects and Radial Distortions
BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
Classic-and-state-of-the-art-image-fusion-methods
CBF,CVT,DTCWT,GTF,LP,MSVD,RP,Wavelet,CNN,Deepfuse,DenseFuse,FusionGAN,IFCNN,MDlatLRR,DDcGAN,ResNetFusion,NestFuse,NVCE,FusionDN,HybridMSD,PMGI,IFEVIP,StructAware,U2Fusion,MEF-GAN，JSR,ConvSR,DCHWT,MEFGAN,MWFG,PMGI,PANGAN,ect
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
EMVD
Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion. CVPR_2021.
ez_ISP
This is a easy ISP (aka:ez_ISP) for RAW to RGB conversion.
fastdvdnet
FastDVDnet: A Very Fast Deep Video Denoising algorithm
HDR-GAN
This is the implementation for HDR-GAN: HDR Image Reconstruction From Multi-Exposed LDR Images With Large Motions (TIP'2021)
HDR-ISP
A ISP Pipeline For HDR CMOS Image Sensor
hdrmerge-1
HDR exposure merging
ISP-pipeline-hdrplus
image-processing(图形处理),camera, isp ,HDRplus
ISPLab
An open-source image signal processing (ISP) pipeline implemented by C++
isppipeline_Python
isppipeline_Python
KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Knowledge-Distillation-for-Super-resolution
ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution
Low-Level-Vision-Paper-Record
记录近期的 1) 图像/视频的超分增强等low level vision任务; 2) 图像生成 等任务相关论文, 主要为18年以后的DL based方法.
micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
netron
Visualizer for neural network, deep learning, and machine learning models
openISP
Image Signal Processor
ReMoNet
code for "ReMoNet: Recurrent Multi-output Network for Efficient Video Denoising" AAAI2022
TransMEF
Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning.
U2Fusion
Code of U2Fusion: a unified unsupervised image fusion network for multiple image fusion tasks, including multi-modal, multi-exposure and multi-focus image fusion.