ABOUT

　”Identity disperser” is a Twitter client app that can generate and post images of fake faces that resemble the user using StyleGAN2 projector.
Photographs have been used in many situations not only for recording, but also as an effective means of proving one’s identity, for example, as an ID.
However, in recent years, photos casually posted on the Internet or social networking sites have become associated with other information, and sometimes information is obtained that the person does not want.
　”Identity disperser” creates a situation where it is difficult to identify the real face by flooding the Internet with fake faces that resemble the user.
　It also blurs the distinction between self and others based on appearance, and a part of user’s identities is dispersed in the fake existence.
　With this work, we question and update the meaning of identity in relation to photographs and appearance.

　”Identity disperser “は、StyleGAN2プロジェクターを使ってユーザーに似せた偽顔の画像を生成し，投稿することができるTwitterクライアントアプリです．
これまで写真は記録としてだけでなく，身分証明書など本人であることを証明する有効な手段として，様々な場面で利用されてきました．しかし近年，インターネットやSNSに何気なく投稿された写真が他の情報と結びつき，本人が望まない情報がさらされることもあります．
　本作品は，ネット上に本人に似せた偽の顔を氾濫させることで，素顔の特定が困難な状況を作り出します．また，外見による自他の区別を曖昧にし，アイデンティティの一部を偽物の存在に分散させます．
　この作品では，写真や外見にまつわるアイデンティティの意味を問い直し，更新していきます．

DATE CREATED

January 22th, 2021.

CREDIT

Scott Allen (Concept, Machine learning + Twitter client programming, Direction)
Asuka Ishii (Face swap programming)
Santa Naruse, Takayuki Yamaguchi (Technical support)
Nao Tokui (Technical advice)

CONFERENCE

CVPR2021 “The computer vision art gallery”

VIDEO

VIDEO CREDIT

Editing: Asuka Ishii, Scott Allen
Filming: Hitsuji

PHOTOS

Dispersed photos can be seen in the following link(twitter hashtag search):
jump to twitter hashtag search