Interactively Assessing Disentanglement in GANs
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DOI: 10.1111/cgf.14524
Abstract: Generative adversarial networks (GAN) have witnessed tremendous growth in recent years, demonstrating wide applicability in many domains. However, GANs remain notoriously difficult for people to interpret, particularly for modern GANs capable of generating photo‐realistic imagery.… read more here.
Keywords: disentanglement gans; interactively assessing; assessing disentanglement; variation ... See more keywords