Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model

Airborne particles are the medium for SARS-CoV-2 to invade the human body. Light also reflects through suspended particles in the air, allowing people to see a colorful world. Impressionism is the most prominent art school that explores the spectrum of color created through color reflection of light...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:arXiv.org 2023-04
Hauptverfasser: Yuan-Fu, Yang, Iuan-Kai Fang, Sun, Min, Su-Chu, Hsu
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title arXiv.org
container_volume
creator Yuan-Fu, Yang
Iuan-Kai Fang
Sun, Min
Su-Chu, Hsu
description Airborne particles are the medium for SARS-CoV-2 to invade the human body. Light also reflects through suspended particles in the air, allowing people to see a colorful world. Impressionism is the most prominent art school that explores the spectrum of color created through color reflection of light. We find similarities of color structure and color stacking in the Impressionist paintings and the illustrations of the novel coronavirus by artists around the world. With computerized data analysis through the main tones, the way of color layout, and the way of color stacking in the paintings of the Impressionists, we train computers to draw the novel coronavirus in an Impressionist style using a Generative Adversarial Network to create our artwork "Medium. Permeation". This artwork is composed of 196 randomly generated viral pictures arranged in a 14 by 14 matrix to form a large-scale painting. In addition, we have developed an extended work: Gradual Change, which is presented as video art. We use Graph Neural Network to present 196 paintings of the new coronavirus to the audience one by one in a gradual manner. In front of LED TV screen, audience will find 196 virus paintings whose colors will change continuously. This large video painting symbolizes that worldwide 196 countries have been invaded by the epidemic, and every nation continuously pops up mutant viruses. The speed of vaccine development cannot keep up with the speed of virus mutation. This is also the first generative art in the world based on the common features and a metaphorical symbiosis between Impressionist art and the novel coronavirus. This work warns us of the unprecedented challenges posed by the SARS-CoV-2, implying that the world should not ignore the invisible enemy who uses air as a medium.
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2805741488</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2805741488</sourcerecordid><originalsourceid>FETCH-proquest_journals_28057414883</originalsourceid><addsrcrecordid>eNpjYuA0MjY21LUwMTLiYOAtLs4yMDAwMjM3MjU15mRw8U1NySzN1VMISC3KTU0syczPs1IIdgwK1nX2D9M1UghIzMwrycxLV3AugsgqJFUquKfmpRYBeWWpCr75Kak5PAysaYk5xam8UJqbQdnNNcTZQ7egKL-wNLW4JD4rv7QoDygVb2RhYGpuYmhiYWFMnCoAUS041g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2805741488</pqid></control><display><type>article</type><title>Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model</title><source>Free E- Journals</source><creator>Yuan-Fu, Yang ; Iuan-Kai Fang ; Sun, Min ; Su-Chu, Hsu</creator><creatorcontrib>Yuan-Fu, Yang ; Iuan-Kai Fang ; Sun, Min ; Su-Chu, Hsu</creatorcontrib><description>Airborne particles are the medium for SARS-CoV-2 to invade the human body. Light also reflects through suspended particles in the air, allowing people to see a colorful world. Impressionism is the most prominent art school that explores the spectrum of color created through color reflection of light. We find similarities of color structure and color stacking in the Impressionist paintings and the illustrations of the novel coronavirus by artists around the world. With computerized data analysis through the main tones, the way of color layout, and the way of color stacking in the paintings of the Impressionists, we train computers to draw the novel coronavirus in an Impressionist style using a Generative Adversarial Network to create our artwork "Medium. Permeation". This artwork is composed of 196 randomly generated viral pictures arranged in a 14 by 14 matrix to form a large-scale painting. In addition, we have developed an extended work: Gradual Change, which is presented as video art. We use Graph Neural Network to present 196 paintings of the new coronavirus to the audience one by one in a gradual manner. In front of LED TV screen, audience will find 196 virus paintings whose colors will change continuously. This large video painting symbolizes that worldwide 196 countries have been invaded by the epidemic, and every nation continuously pops up mutant viruses. The speed of vaccine development cannot keep up with the speed of virus mutation. This is also the first generative art in the world based on the common features and a metaphorical symbiosis between Impressionist art and the novel coronavirus. This work warns us of the unprecedented challenges posed by the SARS-CoV-2, implying that the world should not ignore the invisible enemy who uses air as a medium.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Artists ; Color ; Coronaviruses ; Data analysis ; Generative adversarial networks ; Graph neural networks ; Impressionism ; Light reflection ; Permeation ; Severe acute respiratory syndrome coronavirus 2 ; Stacking ; Symbiosis ; Viral diseases ; Viruses</subject><ispartof>arXiv.org, 2023-04</ispartof><rights>2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,784</link.rule.ids></links><search><creatorcontrib>Yuan-Fu, Yang</creatorcontrib><creatorcontrib>Iuan-Kai Fang</creatorcontrib><creatorcontrib>Sun, Min</creatorcontrib><creatorcontrib>Su-Chu, Hsu</creatorcontrib><title>Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model</title><title>arXiv.org</title><description>Airborne particles are the medium for SARS-CoV-2 to invade the human body. Light also reflects through suspended particles in the air, allowing people to see a colorful world. Impressionism is the most prominent art school that explores the spectrum of color created through color reflection of light. We find similarities of color structure and color stacking in the Impressionist paintings and the illustrations of the novel coronavirus by artists around the world. With computerized data analysis through the main tones, the way of color layout, and the way of color stacking in the paintings of the Impressionists, we train computers to draw the novel coronavirus in an Impressionist style using a Generative Adversarial Network to create our artwork "Medium. Permeation". This artwork is composed of 196 randomly generated viral pictures arranged in a 14 by 14 matrix to form a large-scale painting. In addition, we have developed an extended work: Gradual Change, which is presented as video art. We use Graph Neural Network to present 196 paintings of the new coronavirus to the audience one by one in a gradual manner. In front of LED TV screen, audience will find 196 virus paintings whose colors will change continuously. This large video painting symbolizes that worldwide 196 countries have been invaded by the epidemic, and every nation continuously pops up mutant viruses. The speed of vaccine development cannot keep up with the speed of virus mutation. This is also the first generative art in the world based on the common features and a metaphorical symbiosis between Impressionist art and the novel coronavirus. This work warns us of the unprecedented challenges posed by the SARS-CoV-2, implying that the world should not ignore the invisible enemy who uses air as a medium.</description><subject>Artists</subject><subject>Color</subject><subject>Coronaviruses</subject><subject>Data analysis</subject><subject>Generative adversarial networks</subject><subject>Graph neural networks</subject><subject>Impressionism</subject><subject>Light reflection</subject><subject>Permeation</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Stacking</subject><subject>Symbiosis</subject><subject>Viral diseases</subject><subject>Viruses</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpjYuA0MjY21LUwMTLiYOAtLs4yMDAwMjM3MjU15mRw8U1NySzN1VMISC3KTU0syczPs1IIdgwK1nX2D9M1UghIzMwrycxLV3AugsgqJFUquKfmpRYBeWWpCr75Kak5PAysaYk5xam8UJqbQdnNNcTZQ7egKL-wNLW4JD4rv7QoDygVb2RhYGpuYmhiYWFMnCoAUS041g</recordid><startdate>20230422</startdate><enddate>20230422</enddate><creator>Yuan-Fu, Yang</creator><creator>Iuan-Kai Fang</creator><creator>Sun, Min</creator><creator>Su-Chu, Hsu</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20230422</creationdate><title>Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model</title><author>Yuan-Fu, Yang ; Iuan-Kai Fang ; Sun, Min ; Su-Chu, Hsu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_28057414883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Artists</topic><topic>Color</topic><topic>Coronaviruses</topic><topic>Data analysis</topic><topic>Generative adversarial networks</topic><topic>Graph neural networks</topic><topic>Impressionism</topic><topic>Light reflection</topic><topic>Permeation</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Stacking</topic><topic>Symbiosis</topic><topic>Viral diseases</topic><topic>Viruses</topic><toplevel>online_resources</toplevel><creatorcontrib>Yuan-Fu, Yang</creatorcontrib><creatorcontrib>Iuan-Kai Fang</creatorcontrib><creatorcontrib>Sun, Min</creatorcontrib><creatorcontrib>Su-Chu, Hsu</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yuan-Fu, Yang</au><au>Iuan-Kai Fang</au><au>Sun, Min</au><au>Su-Chu, Hsu</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model</atitle><jtitle>arXiv.org</jtitle><date>2023-04-22</date><risdate>2023</risdate><eissn>2331-8422</eissn><abstract>Airborne particles are the medium for SARS-CoV-2 to invade the human body. Light also reflects through suspended particles in the air, allowing people to see a colorful world. Impressionism is the most prominent art school that explores the spectrum of color created through color reflection of light. We find similarities of color structure and color stacking in the Impressionist paintings and the illustrations of the novel coronavirus by artists around the world. With computerized data analysis through the main tones, the way of color layout, and the way of color stacking in the paintings of the Impressionists, we train computers to draw the novel coronavirus in an Impressionist style using a Generative Adversarial Network to create our artwork "Medium. Permeation". This artwork is composed of 196 randomly generated viral pictures arranged in a 14 by 14 matrix to form a large-scale painting. In addition, we have developed an extended work: Gradual Change, which is presented as video art. We use Graph Neural Network to present 196 paintings of the new coronavirus to the audience one by one in a gradual manner. In front of LED TV screen, audience will find 196 virus paintings whose colors will change continuously. This large video painting symbolizes that worldwide 196 countries have been invaded by the epidemic, and every nation continuously pops up mutant viruses. The speed of vaccine development cannot keep up with the speed of virus mutation. This is also the first generative art in the world based on the common features and a metaphorical symbiosis between Impressionist art and the novel coronavirus. This work warns us of the unprecedented challenges posed by the SARS-CoV-2, implying that the world should not ignore the invisible enemy who uses air as a medium.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier EISSN: 2331-8422
ispartof arXiv.org, 2023-04
issn 2331-8422
language eng
recordid cdi_proquest_journals_2805741488
source Free E- Journals
subjects Artists
Color
Coronaviruses
Data analysis
Generative adversarial networks
Graph neural networks
Impressionism
Light reflection
Permeation
Severe acute respiratory syndrome coronavirus 2
Stacking
Symbiosis
Viral diseases
Viruses
title Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T00%3A44%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=document&rft.atitle=Medium.%20Permeation:%20SARS-COV-2%20Painting%20Creation%20by%20Generative%20Model&rft.jtitle=arXiv.org&rft.au=Yuan-Fu,%20Yang&rft.date=2023-04-22&rft.eissn=2331-8422&rft_id=info:doi/&rft_dat=%3Cproquest%3E2805741488%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2805741488&rft_id=info:pmid/&rfr_iscdi=true