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Found 3 papers, 1 papers with code
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
Most image-to-image translation models postulate that a unique correspondence exists between the semantic classes of the source and target domains.
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps
Even though our application is on segmenting historical maps, we believe that the method can be transferred into other fields with similar problems like temporal sequences of satellite images.
Inferring Implicit 3D Representations from Human Figures on Pictorial Maps
By assembling all body parts, we derive 2D depth images and body part masks of the whole figure for different views, which are fed into a fully convolutional network to predict UV images.
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