EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration

Related tags

Deep LearningEDPN
Overview

EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration

Ruikang Xu, Zeyu Xiao, Jie Huang, Yueyi Zhang, Zhiwei Xiong. EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration. In CVPRW 2021. (Winner of NTIRE Challenge 2021 on Image Deblurring Track 1. Low Resolution)

Dependencies

  • This repository is based on [EDVR/old_version], you can install DeformConv by following [EDVR/old_version]
  • Python 3 (Recommend to use Anaconda)
  • PyTorch 1.2.0: conda install pytorch=1.2.0 torchvision cudatoolkit=9.2 -c pytorch
  • numpy: pip install numpy
  • opencv: pip install opencv-python
  • tensorboardX: pip install tensorboardX

Prepare your data

Take blurry image super-resolution as an example

cd deblur_SR/datasets && python createTxt.py

Train the model

Take blurry image super-resolution as an example

cd deblur_SR && python train.py

Test the model

Take blurry image super-resolution as an example

cd deblur_SR && python inference.py

Dataset

CodaLab | NTIRE2021

Citation

@InProceedings{Xu_2021_CVPRW_EDPN,
    author = {Xu, Ruikang and Xiao, Zeyu and Huang, Jie and Zhang, Yueyi and Xiong, Zhiwei},
    title = {EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration},
    booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition WorkShops (CVPRW)},
    month = {June},
    year = {2021}
}  

@InProceedings{Nah_2021_CVPRW_Deblur,
    author = {Nah, Seungjun and Son, Sanghyun and Lee, Suyoung and Timofte, Radu and Lee, Kyoung Mu},
    title = {NTIRE 2021 Challenge on Image Deblurring},
    booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition WorkShops (CVPRW)},
    month = {June},
    year = {2021}
}

Contact

Any question regarding this work can be addressed to [email protected] and [email protected].

MLJetReconstruction - using machine learning to reconstruct jets for CMS

MLJetReconstruction - using machine learning to reconstruct jets for CMS The C++ data extraction code used here was based heavily on that foundv here.

ALPhA Davidson 0 Nov 17, 2021
DANet for Tabular data classification/ regression.

Deep Abstract Networks A pyTorch implementation for AAAI-2022 paper DANets: Deep Abstract Networks for Tabular Data Classification and Regression. Bri

Ronnie Rocket 55 Sep 14, 2022
PyTorch Connectomics: segmentation toolbox for EM connectomics

Introduction The field of connectomics aims to reconstruct the wiring diagram of the brain by mapping the neural connections at the level of individua

Zudi Lin 132 Dec 26, 2022
[ICCV'21] Pri3D: Can 3D Priors Help 2D Representation Learning?

Pri3D: Can 3D Priors Help 2D Representation Learning? [ICCV 2021] Pri3D leverages 3D priors for downstream 2D image understanding tasks: during pre-tr

Ji Hou 124 Jan 06, 2023
Code of Periodic Activation Functions Induce Stationarity

Periodic Activation Functions Induce Stationarity This repository is the official implementation of the methods in the publication: L. Meronen, M. Tra

AaltoML 12 Jun 07, 2022
Unofficial implementation of the paper: PonderNet: Learning to Ponder in TensorFlow

PonderNet-TensorFlow This is an Unofficial Implementation of the paper: PonderNet: Learning to Ponder in TensorFlow. Official PyTorch Implementation:

1 Oct 23, 2022
A demonstration of using a live Tensorflow session to create an interactive face-GAN explorer.

Streamlit Demo: The Controllable GAN Face Generator This project highlights Streamlit's new hash_func feature with an app that calls on TensorFlow to

Streamlit 257 Dec 31, 2022
The source code and dataset for the RecGURU paper (WSDM 2022)

RecGURU About The Project Source code and baselines for the RecGURU paper "RecGURU: Adversarial Learning of Generalized User Representations for Cross

Chenglin Li 17 Jan 07, 2023
a simple, efficient, and intuitive text editor

Oxygen beta a simple, efficient, and intuitive text editor Overview oxygen is a simple, efficient, and intuitive text editor designed as more featured

Aarush Gupta 1 Feb 23, 2022
[ICCV 2021 (oral)] Planar Surface Reconstruction from Sparse Views

Planar Surface Reconstruction From Sparse Views Linyi Jin, Shengyi Qian, Andrew Owens, David F. Fouhey University of Michigan ICCV 2021 (Oral) This re

Linyi Jin 89 Jan 05, 2023
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

Bae, Gwangbin 95 Jan 04, 2023
Airborne magnetic data of the Osborne Mine and Lightning Creek sill complex, Australia

Osborne Mine, Australia - Airborne total-field magnetic anomaly This is a section of a survey acquired in 1990 by the Queensland Government, Australia

Fatiando a Terra Datasets 1 Jan 21, 2022
Code for "Layered Neural Rendering for Retiming People in Video."

Layered Neural Rendering in PyTorch This repository contains training code for the examples in the SIGGRAPH Asia 2020 paper "Layered Neural Rendering

Google 154 Dec 16, 2022
3D dataset of humans Manipulating Objects in-the-Wild (MOW)

MOW dataset [Website] This repository maintains our 3D dataset of humans Manipulating Objects in-the-Wild (MOW). The dataset contains 512 images in th

Zhe Cao 28 Nov 06, 2022
Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks

PWLQ Updates 2020/07/16 - We are working on getting permission from our institution to release our source code. We will release it once we are granted

54 Dec 15, 2022
ScaleNet: A Shallow Architecture for Scale Estimation

ScaleNet: A Shallow Architecture for Scale Estimation Repository for the code of ScaleNet paper: "ScaleNet: A Shallow Architecture for Scale Estimatio

Axel Barroso 34 Nov 09, 2022
Convnext-tf - Unofficial tensorflow keras implementation of ConvNeXt

ConvNeXt Tensorflow This is unofficial tensorflow keras implementation of ConvNe

29 Oct 06, 2022
Code repository for "Reducing Underflow in Mixed Precision Training by Gradient Scaling" presented at IJCAI '20

Reducing Underflow in Mixed Precision Training by Gradient Scaling This project implements the gradient scaling method to improve the performance of m

Ruizhe Zhao 5 Apr 14, 2022
A repo that contains all the mesh keys needed for mesh backend, along with a code example of how to use them in python

Mesh-Keys A repo that contains all the mesh keys needed for mesh backend, along with a code example of how to use them in python Have been seeing alot

Joseph 53 Dec 13, 2022
Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

6D Rotation Representation for Unconstrained Head Pose Estimation (Pytorch) Paper Thorsten Hempel and Ahmed A. Abdelrahman and Ayoub Al-Hamadi, "6D Ro

Thorsten Hempel 284 Dec 23, 2022