Hi, thanks for your interest. We only polish and offer the code and the model for DeepMIH with 2 images hidden, which contains the main experiments in the paper. For DeepMIH-P, it was added in the Response process, and we only added a commonly used vgg_loss, which can be found in lots of low-level works. Specifically, we mainly referred to [HiDDeN](https://github.com/ando-khachatryan/HiDDeN).

TomTomTommi / DeepMIH

Official repository of "DeepMIH: Deep Invertible Network for Multiple Image Hiding", TPAMI 2022.

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Hi, thanks for your interest. We only polish and offer the code and the model for DeepMIH with 2 images hidden, which contains the main experiments in the paper. For DeepMIH-P, it was added in the Response process, and we only added a commonly used vgg_loss, which can be found in lots of low-level works. Specifically, we mainly referred to [HiDDeN](https://github.com/ando-khachatryan/HiDDeN). #4

Open excellent666 opened 2 years ago

excellent666 commented 2 years ago

Hi, thanks for your interest. We only polish and offer the code and the model for DeepMIH with 2 images hidden, which contains the main experiments in the paper. For DeepMIH-P, it was added in the Response process, and we only added a commonly used vgg_loss, which can be found in lots of low-level works. Specifically, we mainly referred to HiDDeN.

Originally posted by @TomTomTommi in https://github.com/TomTomTommi/DeepMIH/issues/1#issuecomment-1050446436