Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"

Last update: Oct 3, 2022

Related tags

Overview

NCSR: Noise Conditional Flow Model for Learning the Super-Resolution Space

Official NCSR training PyTorch Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"

NCSR: Noise Conditional Flow Model for Learning the Super-Resolution Space(https://arxiv.org/abs/2106.04428)

**We got 1st place in NTIRE2021 Learning the Super-Resolution Space. Our team name is Deepest

These figures and tables are from NTIRE2021 Learning the Super-Resolution Space

How to use repo

git clone --recursive https://github.com/younggeun-kim/NCSR.git

Training

cd code
python train.py -opt path/to/Confpath

path/to/Confpath is model parameter script which is in code/confs/~.yml

Test

cd code
python eval.py --scale scale_factor --lrtest_path path/to/LRpath --conf_path path/to/Confpath

To eval with pretrained model, please check model_path in Confpath.
Pretriained models should be in code/pretrained_model

Measure

cd code/NTIRE21_Learning_SR_Space
python measure.py OutName path/to/Ground-Truth path/to/Super-Resolution n_samples scale_factor

path/to/Super-Resolution is code/output_dir.

Pretrained weight

NCSR X4

NCSR X8

RRDB pretrained weights can be found in SRFlow github

Preparing data

cd code
python prepare_data.py /path/to/img_dir

If dataset mode is LRHR_IMG, just use img_dir.
If dataset mode is LRHR_PKL, please use this code.

Citation

If you found our work useful, please don't forget to cite

@misc{kim2021noise,
      title={Noise Conditional Flow Model for Learning the Super-Resolution Space}, 
      author={Younggeun Kim and Donghee Son},
      year={2021},
      eprint={2106.04428},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

The code is based on the SRFlow implementation

Comments

when test，there is an error

node = self.get_single_node() File "yaml/_yaml.pyx", line 702, in yaml._yaml.CParser.get_single_node File "yaml/_yaml.pyx", line 903, in yaml._yaml.CParser._parse_next_event File "yaml/_yaml.pyx", line 912, in yaml._yaml.input_handler (result, consumed) = self._buffer_decode(data, self.errors, final) UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 64: invalid start byte

opened by hiredd 0

Code for "ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on", accepted at WACV 2021 Generation of Human Behavior Workshop.

ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on [ Paper ] [ Project Page ] This repository contains the code fo

97 Dec 13, 2022

Tracking code for the winner of track 1 in the MMP-Tracking Challenge at ICCV 2021 Workshop.

Tracking Code for the winner of track1 in MMP-Trakcing challenge This repository contains our tracking code for the Multi-camera Multiple People Track

29 Nov 13, 2022

Code repo for "RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network" (Machine Learning and the Physical Sciences workshop in NeurIPS 2021).

RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network An official PyTorch implementation of the RBSRICNN network as desc

6 Nov 14, 2022

Repo for CVPR2021 paper "QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information"

QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information by Masato Tamura, Hiroki Ohashi, and Tomoaki Yosh

105 Dec 23, 2022

Official implementation of our CVPR2021 paper "OTA: Optimal Transport Assignment for Object Detection" in Pytorch.

OTA: Optimal Transport Assignment for Object Detection This project provides an implementation for our CVPR2021 paper "OTA: Optimal Transport Assignme

217 Jan 3, 2023

[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465

PointDSC repository PyTorch implementation of PointDSC for CVPR'2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency",

153 Dec 14, 2022

The implementation of the CVPR2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes"

STAR-FC This code is the implementation for the CVPR 2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes" 🌟 🌟 . 🎓 Re

87 Dec 28, 2022

The official repo of the CVPR2021 oral paper: Representative Batch Normalization with Feature Calibration

Representative Batch Normalization (RBN) with Feature Calibration The official implementation of the CVPR2021 oral paper: Representative Batch Normali

76 Nov 9, 2022

The implementation of CVPR2021 paper Temporal Query Networks for Fine-grained Video Understanding, by Chuhan Zhang, Ankush Gupta and Andrew Zisserman.

Temporal Query Networks for Fine-grained Video Understanding 📋 This repository contains the implementation of CVPR2021 paper Temporal_Query_Networks

55 Dec 21, 2022

Code for the CVPR2021 workshop paper "Noise Conditional Flow Model for Learning the Super-Resolution Space"

Related tags

Overview

NCSR: Noise Conditional Flow Model for Learning the Super-Resolution Space

How to use repo

Training

Test

Measure

Pretrained weight

Preparing data

Citation

You might also like...

Code for "ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on", accepted at WACV 2021 Generation of Human Behavior Workshop.

Tracking code for the winner of track 1 in the MMP-Tracking Challenge at ICCV 2021 Workshop.

Code repo for "RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network" (Machine Learning and the Physical Sciences workshop in NeurIPS 2021).

Repo for CVPR2021 paper "QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information"

Official implementation of our CVPR2021 paper "OTA: Optimal Transport Assignment for Object Detection" in Pytorch.

[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465

The implementation of the CVPR2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes"

The official repo of the CVPR2021 oral paper: Representative Batch Normalization with Feature Calibration

The implementation of CVPR2021 paper Temporal Query Networks for Fine-grained Video Understanding, by Chuhan Zhang, Ankush Gupta and Andrew Zisserman.

Comments

when test，there is an error

Owner

[CVPR2021] The source code for our paper 《Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning》.

Code for CVPR2021 paper "Robust Reflection Removal with Reflection-free Flash-only Cues"

Code for the paper "Graph Attention Tracking". (CVPR2021)

PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

Code for CVPR2021 paper "Learning Salient Boundary Feature for Anchor-free Temporal Action Localization"

Code for C2-Matching (CVPR2021). Paper: Robust Reference-based Super-Resolution via C2-Matching.

Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.

Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"

Official code of paper "PGT: A Progressive Method for Training Models on Long Videos" on CVPR2021

PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).