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Codes for "Metric Learning based Interactive Modulation for Real-World Super-Resolution"

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你好,看完了工程我有一个疑惑,在mmrealsr_arch.py中有两个模型MMRRDBNet和MMRRDBNet_test,训练阶段使用MMRRDBNet,测试阶段使用MMRRDBNet_test,两个的区别在计算degree的部分,但是我看不懂为什么训练阶段需要计算一个min/max?

Great work with this SR, I'm researching SR solutions and doing a deep comparison between MM-RealSR and other SoTa options but can't do a real comparison without the x2 model,...

Hello, [MSU Graphics & Media Lab Video Group](https://videoprocessing.ai/) has recently launched two new Super-Resolution Benchmarks. * [Video Upscalers Benchmark: Quality Enhancement](https://videoprocessing.ai/benchmarks/video-upscalers.html) determines the best upscaling methods for increasing video resolution...

Hi, @MC-E. I really thank for your awesome work. I have some questions about training MM-RealSR. 1. In your paper, MM-RealSR was trained during 1000k iterations for phase 1 and...

Hi, I want to finetune mm-realsr on my own dataset, could you please provide the net_d model? Thank you!

Hello, the author. Thank you very much for your work. I want to ask you how long you have been training and what kind of GPU you use

Thanks for your great work! Currently, I try to reproduce your work. However, I meet some problem when I couldn't find the function `default_init_weights` . I would appreciate it if...

Thanks for your great work! Currently, I try to reproduce your work. However, I meet some problem when I couldn't find the function `default_init_weights` . I would appreciate it if...

Thanks for your great work! Currently, I try to reproduce your work. However, I meet some problem when I couldn't find the function `default_init_weights` . I would appreciate it if...

Great job, I'm interested in it. But when I trained with this code, I found that l_ranking_blur and l_ranking_noise kept at 5*10-4 without decreasing. What's the reason? Could you help...