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Found 3 papers, 2 papers with code
Multi Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face Recognition
While they are capable of reconstructing images that are visually appealing, the identity-related information is not preserved.
Latent Vector Recovery of Audio GANs
Through our deep neural network based method of training on real and synthesized audio, we are able to predict a latent vector that corresponds to a reasonable reconstruction of real audio.
Inverse mapping of face GANs
The vast majority of studies on latent vector recovery perform well only on generated images, we argue that our method can be used to determine a mapping between real human faces and latent-space vectors that contain most of the important face style details.
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