{"id":368,"date":"2022-05-05T13:19:00","date_gmt":"2022-05-05T13:19:00","guid":{"rendered":"http:\/\/liipetti.net\/retkia\/?page_id=368"},"modified":"2022-05-25T11:51:13","modified_gmt":"2022-05-25T11:51:13","slug":"lahteita","status":"publish","type":"page","link":"https:\/\/liipetti.net\/retkia\/kuvantekoon\/lahteita\/","title":{"rendered":"L\u00e4hteit\u00e4"},"content":{"rendered":"\n

Teko\u00e4lyn kangastuksia kuvataiteeseen<\/strong><\/p>\n\n\n\n

s. 9

Arthur I. Miller, The Artist in the Machine, The World of AI-Powered Creativity, MIT Press, 2019<\/p>\n\n\n\n

s. 23<\/p>\n\n\n\n

Artbreeder, https:\/\/www.artbreeder.com<\/a><\/p>\n\n\n\n


Tyylimuunnos<\/strong><\/p>\n\n\n\n

s. 29

Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, A Neural Algorithm of Artistic Style
https:\/\/arxiv.org\/abs\/1508.06576<\/a>

Justin Johnson, neural-style
https:\/\/github.com\/jcjohnson\/neural-style<\/a><\/p>\n\n\n\n

T\u00e4m\u00e4 oli ensimm\u00e4inen tyylimuunnoksen ohjelmistototeutus ja se sai valtavasti huomiota. Perehdyin itse siihen l\u00e4pikotaisin ja tein siihen paljon muutoksia ja erilaisia kokeiluja. T\u00e4n\u00e4 p\u00e4iv\u00e4n\u00e4 on parempi k\u00e4ytt\u00e4\u00e4 uudempia toteutuksia joita l\u00f6ytyy vaikka kuinka.
<\/p>\n\n\n\n

s. 30<\/p>\n\n\n\n


VGG19, Very Deep Convolutional Networks for Large-Scale Image Recognition
https:\/\/arxiv.org\/abs\/1409.1556
<\/a><\/p>\n\n\n\n

s. 35

Justin Johnson, fast-neural-style
https:\/\/github.com\/jcjohnson\/fast-neural-style<\/a><\/p>\n\n\n\n

s. 36

Nopeaan tyylimuunnokseen perustuvista appeista tunnetuin lienee ollut Prisma.
https:\/\/en.wikipedia.org\/wiki\/Prisma_(app)
<\/a>

s. 37
places365
Convolutional neural networks (CNNs) trained on the Places2 Database can be used for scene recognition as well as generic deep scene features for visual recognition.

http:\/\/places2.csail.mit.edu\/download.html<\/a><\/p>\n\n\n\n

p. 41
pix2pix,
Image-to-Image Translation with Conditional Adversarial Nets
https:\/\/phillipi.github.io\/pix2pix\/<\/a><\/p>\n\n\n\n

s. 52
cycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https:\/\/junyanz.github.io\/CycleGAN\/
<\/a>
s. 69<\/p>\n\n\n\n

GAN-periaate esiteltiin ensimm\u00e4iseksi t\u00e4ss\u00e4 paperissa 2014.

Ian Goodfellow et al, Generative Adversarial Nets

https:\/\/arxiv.org\/pdf\/1406.2661.pdf<\/a><\/p>\n\n\n\n

T\u00e4n\u00e4 p\u00e4iv\u00e4n\u00e4 netist\u00e4 l\u00f6ytyy valtavasti yleistajuisia artikkeleita, jotka katsovat asiaa eri n\u00e4k\u00f6kulmista yksinkertaistaen.<\/p>\n\n\n\n

<\/p>\n\n\n\n

s. 75<\/p>\n\n\n\n

BigGAN

Brock, Donahue, Simonyan: Large scale GAN training for high fidelity natural image synthesis
https:\/\/arxiv.org\/pdf\/1809.11096.pdf<\/a><\/p>\n\n\n\n


Artbreeder, https:\/\/www.artbreeder.com<\/a>

<\/p>\n\n\n\n

s. 81<\/p>\n\n\n\n

VQGAN<\/p>\n\n\n\n

https:\/\/compvis.github.io\/taming-transformers\/<\/a><\/p>\n\n\n\n

<\/p>\n\n\n\n

s. 87
<\/p>\n\n\n\n

CLIP

https:\/\/openai.com\/blog\/clip\/<\/a>

CLIP + BigGAN (colab) ”The Big Sleep”<\/p>\n\n\n\n

https:\/\/colab.research.google.com\/drive\/1NCceX2mbiKOSlAd_o7IU7nA9UskKN5WR?usp=sharing<\/a>

CLIP + FFT (colab) ”Aphantasia”

https:\/\/colab.research.google.com\/github\/eps696\/aphantasia\/blob\/master\/Aphantasia.ipynb<\/a>

CLIP + SIREN (colab)

https:\/\/colab.research.google.com\/drive\/1FoHdqoqKntliaQKnMoNs3yn5EALqWtvP?usp=sharing
<\/a>
<\/a>CLIP + VQGAN (colab)

https:\/\/colab.research.google.com\/drive\/15UwYDsnNeldJFHJ9NdgYBYeo6xPmSelP<\/a>



s. 99

Diffuusio

Dharival, Nichol: Diffusion models beat GANs on image synthesis

https:\/\/arxiv.org\/pdf\/2105.05233.pdf<\/a>

Colab https:\/\/colab.research.google.com\/drive\/12a_Wrfi2_gwwAuN3VvMTwVMz9TfqctNj<\/a>


s. 106

SIREN https:\/\/www.vincentsitzmann.com\/siren\/<\/a>

Katso my\u00f6s Neurokuvatreenit, harj 4<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Teko\u00e4lyn kangastuksia kuvataiteeseen s. 9 Arthur I. Miller, The Artist in the Machine, The World of AI-Powered Creativity, MIT Press, 2019 s. 23 Artbreeder, https:\/\/www.artbreeder.com Tyylimuunnos s. 29 Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, A Neural Algorithm of Artistic Style https:\/\/arxiv.org\/abs\/1508.06576 Justin Johnson, neural-style https:\/\/github.com\/jcjohnson\/neural-style T\u00e4m\u00e4 oli ensimm\u00e4inen\u2026<\/p>\n

Continue reading<\/i><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":362,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-368","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/liipetti.net\/retkia\/wp-json\/wp\/v2\/pages\/368","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/liipetti.net\/retkia\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/liipetti.net\/retkia\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/liipetti.net\/retkia\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/liipetti.net\/retkia\/wp-json\/wp\/v2\/comments?post=368"}],"version-history":[{"count":12,"href":"https:\/\/liipetti.net\/retkia\/wp-json\/wp\/v2\/pages\/368\/revisions"}],"predecessor-version":[{"id":387,"href":"https:\/\/liipetti.net\/retkia\/wp-json\/wp\/v2\/pages\/368\/revisions\/387"}],"up":[{"embeddable":true,"href":"https:\/\/liipetti.net\/retkia\/wp-json\/wp\/v2\/pages\/362"}],"wp:attachment":[{"href":"https:\/\/liipetti.net\/retkia\/wp-json\/wp\/v2\/media?parent=368"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}