GAN Domain Adaptation

Using a GAN to translate images from a source domain (e.g., simulation) to look like a target domain (e.g., real world) without paired training data. CycleGAN and UNIT are standard architectures. In sim-to-real transfer, domain adaptation reduces the visual gap by transforming simulated images before feeding them to a vision policy.