NTIRE 2020 Real Image Denoising Challenge - ZJU231

Ye Zhangyu, Lu Xiwen, Wu Yaqi, Cao Yanpeng, Yang Jiangxin, Cao Yanlong, Tang Siliang

The source image data come from SIDD: https://www.eecs.yorku.ca/~kamel/sidd/dataset.php

1st Submit: https://www.dropbox.com/s/lwm33zpm00z4850/submit1.pth?dl=0

2nd Submit: https://www.dropbox.com/s/hc1vwtgsuo5vj72/submit2.pth?dl=0

3rd Submit: https://www.dropbox.com/s/ol0b5sevrqsymqx/submit3.pth?dl=0

1st Submit: https://www.dropbox.com/s/x1tjras7zzvk13z/1st_generated_results.zip?dl=0

2nd Submit: https://www.dropbox.com/s/zyue6y5cuf89p1q/2nd_generated_results.zip?dl=0

3rd Submit: https://www.dropbox.com/s/14oi7gbzlrle6eq/3rd_generated_results.zip?dl=0

This code is based on Pytorch 1.0. Thanks to the contributors of Pytorch.

Pytorch: https://pytorch.org/

• For generate final testing result:

  -place the siddplus_test_noisy_raw.mat under the folder Final

  $cd Final

  $python test_result_raw.py

• For training phase:

  Release in future

If you have any questions, feel free to contact:

• Yanpeng Cao ([email protected])
• Zhangyu Ye ([email protected])