Sem-GAN: Semantically-Consistent Image-to-Image Translation

12 Jul 2018 Anoop Cherian Alan Sullivan

Unpaired image-to-image translation is the problem of mapping an image in the source domain to one in the target domain, without requiring corresponding image pairs. To ensure the translated images are realistically plausible, recent works, such as Cycle-GAN, demands this mapping to be invertible... (read more)

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Methods used in the Paper


METHOD TYPE
Max Pooling
Pooling Operations
Convolution
Convolutions
FCN
Semantic Segmentation Models
GAN
Generative Models