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Official Pytorch implementation of paper "Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images"

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Hi, thank you for the very useful dataset. I have a question on the DMs part. I downloaded the dataset and I see that there are 8 folders called Z_i....

Hi, I have reproduced the code for the image attribution. I get the neural network explosion during training. Surprisingly, I got an accuracy of about 85% before the explosion. I...

Thank you very much for your contribution.In the deepfake detection module of the paper, parameter lambda1-4 are set as follows which is inconsistent with the code: ![参数设置](https://user-images.githubusercontent.com/40099267/126276981-79acacd2-5836-4bb5-8751-dbcf89b7fb5d.png) ``` loss1=0.05*l1(low_freq_part,zero).to(device) loss2=-0.001*max_value.to(device)...

Hi, thank you for sharing your code and data. I'm trying to run the `reverse_eng_train.py` and `reverse_eng_test.py` scripts, but both are failing due to missing files required in the following...