PythonPyTorchAutoencodersU-NetCNNsLPIPSLoss CUDAOpenCVPillowCMakeMicrosoft C++ Build Tools
This repository implements a hybrid autoencoder and U-Net architecture for robust image watermark recovery on 512×512 images. It optimizes output quality by combining cycle-consistent latent validation with L1 and LPIPS perceptual losses.