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Lorenz Hurni

1 accepted papers

2024

StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation

CVPR 2024poster

Most image-to-image translation models postulate that a unique correspondence exists between the semantic classes of the source and target domains. However this assumption does not always hold in real-world scenarios due to divergent distributions different class sets and asymmetrical information re…