pinkoceann's repositories
ADAM-ADMM
A Unified, Systematic Framework of Structured Weight Pruning for DNNs
chromatic-aberration
Chromatic aberration simulation and correction
DataDependentSUvarRelease
codes for the paper "A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability", IEEE TIP 2020
deep-hs-prior
Single Hyperspectral Image Denoising, Inpainting, Super-Resolution
Deform2Self
Deform2Self
DIP-SLR
Codes for the paper "Deep sparse and low-rank for HSI denoising" in Proceeding of IGARSS 2022, Kuala Lumpur.
elmm
work on elmm_admm algorithm translation
Enhanced-3DTV
The code of enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing
FrMLNet
This is a implementation of training code of this paper “FrMLNet: Framelet-based Multi-level Network for Pansharpening”
GNN_Review
GNN综述阅读报告
gtvMBO-public
gtvMBO for hyperspectral unixing
Hyperspectral-Image-Super-Resolution-Benchmark
A list of hyperspectral image super-solution resources collected by Junjun Jiang
Latex-Paper-Templates
Latex-format paper templates, including Elsevier, arXiv and IEEE Access.
NTGAN-Learning-Blind-Image-Denoising-Without-Clean-Reference
A GAN-based blind unsupervised denoising framework for real photographs
PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
S2DIP
Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior. arXiv: 2008.09753
Shearlab.jl-bd728e11-17d4-5679-9a00-f24958f87a1c
Last mirrored from https://github.com/arsenal9971/Shearlab.jl.git on 2019-10-08T07:09:20.294-04:00 by @UnofficialJuliaMirrorBot via Travis job 475.34 , triggered by Travis cron job on branch "master"
siamtrans
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers AAAI 2022
SLIM-release-apps-public
Public snapshots of MATLAB SLIM software release to SINBAD sponsors - containing all applications, algorithms, tools, and utilities in MATLAB language
Smart-network
无线根因分析结合现网历史告警和故障定位工单数据,通过机器学习手段建立故障根因分析模型,快速定位故障原因,大幅提升网络运维效率。
SUNet
SUNet: Swin Transformer with UNet for Image Denoising
synthetic-hs-variability
Synthetic endmember variability generation (MATLAB codes).
UID-FDK
Official Pytorch Implementation of Unsupervised Image Denoising With Frequency Domain Knowledge (BMVC2021 Oral Accepted Paper)
Unmixing_with_Deep_Generative_Models
Spectral unmixing using deep generative models
WZDOM
A toolbox for optimization