Web: http://arxiv.org/abs/2201.06346

June 17, 2022, 1:13 a.m. | Hwanil Choi, Wonjoon Chang, Jaesik Choi

cs.CV updates on arXiv.org arxiv.org

Even though Generative Adversarial Networks (GANs) have shown a remarkable
ability to generate high-quality images, GANs do not always guarantee the
generation of photorealistic images. Occasionally, they generate images that
have defective or unnatural objects, which are referred to as 'artifacts'.
Research to investigate why these artifacts emerge and how they can be detected
and removed has yet to be sufficiently carried out. To analyze this, we first
hypothesize that rarely activated neurons and frequently activated neurons have
different purposes …

arxiv cv deep deep generative networks images networks neurons

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