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Ruben van de Ven 2025-08-06 16:53:34 +02:00
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assets/js/ranking.json
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assets/js/rubenvandeven.jsonld
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rubenvandeven.jsonld
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@ -207,13 +207,11 @@
"name": "This place does exist", "name": "This place does exist",
"dateCreated": "2023", "dateCreated": "2023",
"description": "Since the introduction of GANs (Generative Adversarial Networks) in 2014 and Style Transfer in 2015, the use of neural networks has become increasingly popular among image-makers. This trend accelerated with the introduction of StyleGAN, which combined both techniques. What began with generating non-existent faces now encompasses beaches, fonts, an IKEA catalog, rental homes, chairs, climate scenarios, horses, chemicals, cars, tulips, and more. 'This space does exist' explores the relationship between the input and output of these neural networks. For how do the generated images provide insight into the data with which the networks were initially fed? And subsequently, how can these insights inform our use of this technology to answer overarching questions about visual culture and the socio-cultural role of images in public space based on our dataset.\n\n‘This Space does Exist’ the project centers around a dataset compiled by Ward Goes, a cultural anthropologist and graphic designer who, starting in 2018, documented nearly 3000 shopfronts in Paris, manually coding them for typography, colour, and composition, finding patterns linked to city demographics. The project explores the use of neural networks to generate new visuals based on this extensive dataset of Parisian shopfronts, then analyzing those generated images to uncover underlying patterns related to demographics and urban change. The ultimate goal is to create a deeper understanding of visual culture and the role of images in public spaces through a combined artistic and analytical approach.", "description": "Since the introduction of GANs (Generative Adversarial Networks) in 2014 and Style Transfer in 2015, the use of neural networks has become increasingly popular among image-makers. This trend accelerated with the introduction of StyleGAN, which combined both techniques. What began with generating non-existent faces now encompasses beaches, fonts, an IKEA catalog, rental homes, chairs, climate scenarios, horses, chemicals, cars, tulips, and more. 'This space does exist' explores the relationship between the input and output of these neural networks. For how do the generated images provide insight into the data with which the networks were initially fed? And subsequently, how can these insights inform our use of this technology to answer overarching questions about visual culture and the socio-cultural role of images in public space based on our dataset.\n\n‘This Space does Exist’ the project centers around a dataset compiled by Ward Goes, a cultural anthropologist and graphic designer who, starting in 2018, documented nearly 3000 shopfronts in Paris, manually coding them for typography, colour, and composition, finding patterns linked to city demographics. The project explores the use of neural networks to generate new visuals based on this extensive dataset of Parisian shopfronts, then analyzing those generated images to uncover underlying patterns related to demographics and urban change. The ultimate goal is to create a deeper understanding of visual culture and the role of images in public spaces through a combined artistic and analytical approach.",
"@reverse": {
"author": [ "author": [
{ {
"@id": "r:/person/ward-goes" "@id": "r:/person/ward-goes"
} }
] ],
},
"video": [ "video": [
{ {
"@id": "r:/this-place-does-exist/video/gan", "@id": "r:/this-place-does-exist/video/gan",