Ugly Mascot Family

[Mulboyne]

I can't recall which thread Nara mascot "Sento-kun" appears in so I'll put this picture here. City officials have just unveiled his older brother "Rokubo" and grandfather "Rokujii".

[Taro Toporific]

I can't find the thread in which Nara mascot "Sento-kun" appears in either. However, I didn't there would be a way to make the latest incarnation of Sento-kun uglier.


Sento-kun & Manto-kun via the Pink Tentacle's Snow sculptures at Sapporo Snow Festival 2009 [Photo: [url=http://blog.goo.ne.jp/tetsu_501se3248/e/f8ab1d5cb77a46823031c6eeb569ce19" target="_blank]tetsu[/url]]

I can't recall which thread Nara mascot "Sento-kun" appears in so I'll put this picture here. City officials have just unveiled his older brother "Rokubo" and grandfather "Rokujii".

[Marked Trail]

I can't recall which thread Nara mascot "Sento-kun" appears

[YT]gjxuUmw-Dj4#t=01m50s[/YT]

[YT]LMkj8v4aJVs[/YT]

Sento-kun takes 'em all on


More via Sento-kun on IdleIdol.net

[Taro Toporific]

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I can't recall which thread Nara mascot "Sento-kun" appears in...

According to the Mainichi, Nara's horny half-deer/half-monk mascot, Sento-kun, was caught out on the street with his antlers' fully erect (rather than their normal horizontal orientation).

SENTO-KUN’S ERECTION
antler angle…WHAT?! Street happening
Mainichi | 2018 June 01

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せんとくん「角」の角度が！？　街頭でハプニング
毎日新聞2018年6月1日

[Taro Toporific]

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YuruGAN: Yuru-Chara Mascot Generator Using
Generative Adversarial Networks With Clustering
Small Dataset
https://arxiv.org/pdf/2004.08066v1.pdf
Abstract—A yuru-chara is a mascot character created by local governments a and companies for publicizing information on areas and products. Because it takes various costs to create a yuruchara, the utilization of machine learning techniques such as generative adversarial networks (GANs) can be expected. In recent years, it has been reported that the use of class conditions in a dataset for GANs training stabilizes learning and improves the quality of the generated images...
...Because of copyrights and creator fees, it costs a lot to create a new yuru-chara. Spending money and time to design a yuru-chara does not guarantee its popularity. Therefore, by automating the design of yuru-charas, a cost reduction can be expected. A promising way to realize automatic image generation by machine learning is the generative adversarial networks (GANs) method proposed by Goodfellow et al [3]. GANs can generate images that are almost indistinguishable from training data statistically and have succeeded in generating realistic images compared with other image generative models... More...

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[matsuki]

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