Pinned Repositories
Bovik_NIQE_SPL2013
Guided-Image-Denoising-TIP2018
External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising. IEEE Transactions on Image Processing, 2018.
Image-Smoothing-State-of-the-art
Codes of SOTA Image Smoothing Methods
MCWNNM-ICCV2017
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.
Noisy-As-Clean-TIP2020
PyTorch Code for "Noisy-As-Clean: Learning Self-supervised Denoising from Corrupted Image", TIP 2020.
PGPD-ICCV2015
Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising. ICCV, 2015.
PolyU-Real-World-Noisy-Images-Dataset
Real-world Noisy Image Denoising: A New Benchmark
STAR-TIP2020
Matlab code for STAR: A Structure and Texture Aware Retinex Model, TIP 2020.
TWSC-ECCV2018
Matlab Code for "A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018".
WNNM_CVPR2014
CODE
csjunxu's Repositories
csjunxu/Image-Smoothing-State-of-the-art
Codes of SOTA Image Smoothing Methods
csjunxu/GDAS
PyTorch implementation of "Searching for A Robust Neural Architecture in Four GPU Hours", CVPR 2019
csjunxu/DerainZoo
DerainZoo for collecting deraining methods, datasets, and codes.
csjunxu/FastImageProcessing
Fast Image Processing with Fully-Convolutional Networks
csjunxu/awesome-emdl
Embedded and mobile deep learning research resources
csjunxu/BeautyGAN
transfer the makeup of one face to another non-makeup face by histogram matching
csjunxu/CondenseNet
CondenseNet: Light weighted CNN for mobile devices
csjunxu/Datasets
Collection of useful computer vision datasets
csjunxu/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
csjunxu/Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
csjunxu/disentangled-representation-papers
A curated list of research papers related to learning disentangled representations
csjunxu/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
csjunxu/efficientnet
Implementation on EfficientNet model. Keras.
csjunxu/MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
csjunxu/mathematics_dataset
csjunxu/MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
csjunxu/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
csjunxu/mobile-vision
Mobile vision models and code
csjunxu/OctaveConv
A MXNet Implementation for Drop an Octave
csjunxu/Operation-wise-attention-network
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions (CVPR 2019)
csjunxu/ProxylessNAS
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. https://arxiv.org/abs/1812.00332
csjunxu/pytorch-maml-rl
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
csjunxu/pytorch-slimming
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
csjunxu/reid-strong-baseline
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
csjunxu/reid_baseline
sota of reid model
csjunxu/rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
csjunxu/slimmable_networks
Slimmable Networks, ICLR 2019
csjunxu/study_resources
csjunxu/tpu
Reference models and tools for Cloud TPUs.
csjunxu/transdim
Data imputation for urban transportation system