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Unpaired Image Translation with CycleGAN by YOVANI EDWIN PAHUARA BORDA is a document available to read on EtoBox.

What is Unpaired Image Translation with CycleGAN about?

This document proposes a method to learn to translate images from one domain to another without paired training examples. It introduces a cycle-consistent adversarial network that uses two mappings - G to translate from domain X to domain Y, and F to translate back from Y to X. A cycle consistency loss is used to enforce F(G(X)) ≈ X and learn the mappings without paired data. Qualitative results on tasks like style transfer, object transfiguration and season transfer show the method can learn the mappings b

Author

YOVANI EDWIN PAHUARA BORDA

Language

EN