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Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?. (arXiv:2201.06346v2 [cs.CV] UPDATED)
Jan. 21, 2022, 2:10 a.m. | Hwanil Choi, Wonjoon Chang, Jaesik Choi
cs.CV updates on arXiv.org arxiv.org
Even though image generation with Generative Adversarial Networks has been
showing remarkable ability to generate high-quality images, GANs do not always
guarantee photorealistic images will be generated. Sometimes they generate
images that have defective or unnatural objects, which are referred to as
'artifacts'. Research to determine why the artifacts emerge and how they can be
detected and removed has not been sufficiently carried out. To analyze this, we
first hypothesize that rarely activated neurons and frequently activated
neurons have different …
More from arxiv.org / cs.CV updates on arXiv.org
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