Photorealistic Images from Drawings | Two Minute Papers #80

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Hungary Two Minute Papers
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By using a convolutional neural networks (a powerful deep learning technique), it is now possible to build an application that takes a rough sketch as an input, and fetches photorealistic images from a database.

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The paper "The Sketchy Database: Learning to Retrieve Badly Drawn Bunnies" and the online demo is available here:
http://sketchy.eye.gatech.edu/

The paper "Signature verification using a Siamese time delay neural network" is available here:
https://scholar.google.hu/scholar?cluster=4400768003729787411&hl=en&as_sdt=0,5

The paper "Learning Fine-grained Image Similarity with Deep Ranking" is available here:
https://arxiv.org/abs/1404.4661

Our deep learning-related videos are available here:
https://www.youtube.com/playlist?list=PLujxSBD-JXglGL3ERdDOhthD3jTlfudC2

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David Jaenisch, Sunil Kim, Julian Josephs, Daniel John Benton.
https://www.patreon.com/TwoMinutePapers

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The thumbnail background image was drawn by Felícia Fehér.
Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu

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Tags:
two minute papers
The Sketchy Database
Learning to Retrieve Badly Drawn Bunnies
convolutional neural network
siamese network
triplet network
time delay network
Learning Fine-grained Image Similarity with Deep Ranking
Signature verification using a Siamese time delay neural network
deep learning
machine learning
deep learning sketches
machine learning sketches
deep learning drawings
photo from drawing
deep neural network drawing