house-leo / rwsr-edl

Codes for "Real-World Image Super-Resolution by Exclusionary Dual-Learning" (TMM 2022)

Hi, 👋 I'm House Lee (Hao Li)

😄 About Me: ⬇️

• I’m currently a second-year Ph.D. candidate of IMAG (Nanjing University of Science and Technology), advised by Prof. Jinshan Pan.
• I’m currently learning low-level image processing, especially image denoising and super resolution.

Please feel free to contact me via email or the following platform!

   

📫 Academic Service: ⬇️

• Conference Reviewer
  • ECCV 2022
  • AAAI 2023, CVPR 2023, ICCV 2023
  • AAAI 2024, CVPR 2024, ECCV 2024

rwsr-edl's Issues

Access to the pre-trained model

Hey, I loved the paper!

Two questions:

• Can we have access to the pre-trained model?
• What is the estimated time, in your opinion, to run the model on a single image on a mobile device?
• What is the recommended image resolution input size?

Thanks!

关于数据

这是基于配对数据训练的吗 我该如何使用自己数据集训练

关于Loading model for G

在复现您的模型时，执行python3 train.py -opt options/df2k/train_ntire.yml这一步时，提示INFO: Loading model for G [./premodel/RRDB_PSNR_x4.pth] ... Traceback (most recent call last):； FileNotFoundError: [Errno 2] No such file or directory: './premodel/RRDB_PSNR_x4.pth'。我想询问的是这个模型是要在网上下载还是怎样？出现这个问题要怎样解决？

New Super-Resolution Benchmarks

Hello,

MSU Graphics & Media Lab Video Group has recently launched two new Super-Resolution Benchmarks.

• Video Upscalers Benchmark: Quality Enhancement determines the best upscaling methods for increasing video resolution and improving visual quality.
• Super-Resolution for Video Compression benchmark aims to test Super-Resolution methods on compressed videos and select the best model for each video codec standard.

If you are interested in participating, you can add your algorithm following the submission steps:

• Submit for Video Upscalers Benchmark: Quality Enhancement
• Submit for Super-Resolution for Video Compression benchmark

We would be grateful for your feedback on our work!

关于Vehicle_Detection_Recognition-master的百度云分享

朋友，我在github上面找的基于深度学习的汽车目标检测的Matlab的相关实验，但是缺少三个百度云相关的.mat文件，想问下你有没有，可以分享给我吗？谢谢

Inference output

NICE WORK!
I have a question about what is the output of model Inference, if IRx and iRy are only used for training.

self.fake_H, self.out1, self.out2 = self.netG(self.var_L)

In SRGAN_model.py 218 is still use self.fake_H to inference.

which out is real out, when test.