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

Last update: Oct 3, 2022

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Deep Learning NCSR

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

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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

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Comments

when test，there is an error

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