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This work addresses the problems of semantic segmentation and image super-resolution by jointly considering the performance of both in training a Generative Adversarial Network (GAN). We propose a novel architecture and domain-specific feature loss,
Externí odkaz:
http://arxiv.org/abs/2205.08659
