(5) Reflectance modeling by neural texture synthesis

We extend parametric texture synthesis to capture rich, spatially varying parametric reflectance models from a single image. Our input is a single head-lit flash image of a mostly flat, mostly stationary (textured) surface, and the output is a tile of SVBRDF parameters that reproduce the appearance of the material. No user intervention is required. Our … Read more (5) Reflectance modeling by neural texture synthesis


 
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Reflectance modeling by neural texture synthesis | ACM Transactions on Graphics (TOG)

We extend parametric texture synthesis to capture rich, spatially varying parametric reflectance models from a single image. Our input is a single head-lit flash image of a mostly flat, mostly stationary (textured) surface, and the output is a tile of SVBRDF parameters that reproduce the appearance of the material. No user intervention is required. Our … Read more Reflectance modeling by neural texture synthesis | ACM Transactions on Graphics (TOG)


 
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Home – Keras Documentation

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research. Use Keras if you need … Read more Home – Keras Documentation


 
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home | p5.js

p5.js is a JavaScript library for creative coding, with a focus on making coding accessible and inclusive for artists, designers, educators, beginners, and anyone else! p5.js is free and open-source because we believe software, and the tools to learn it, should be accessible to everyone. Using the metaphor of a sketch, p5.js has a full … Read more home | p5.js


 
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Will AI Achieve Consciousness? Wrong Question | WIRED

When Norbert Wiener, the father of cybernetics, wrote his book The Human Use of Human Beings in 1950, vacuum tubes were still the primary electronic building blocks, and there were only a few actual computers in operation.But he imagined the future we now contend with in impressive detail and with few clear mistakes. More than … Read more Will AI Achieve Consciousness? Wrong Question | WIRED


 
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AI Intelligent narrative – Google Search

Search Results Featured snippet from the web The term ‘AI narratives’ is employed even more broadly to include portrayals of any machines (or hybrids, such as cyborgs) to which intelligence has been ascribed, which can include representations under terms such as robots, androids or automata Source: AI Intelligent narrative – Google Search


 
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Ian Goodfellow | Université de Montréal, Montréal | UdeM | Department of Computer Science and Operations Research

Ian Goodfellow Université de Montréal | UdeM · Department of Computer Science and Operations Research 9.52 Source: Ian Goodfellow | Université de Montréal, Montréal | UdeM | Department of Computer Science and Operations Research


 
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Synthetic Selfies (2018 -) – JUKKA HAUTAMÄKI

GuillaumeJanuary 25, 2020 at 10:54 pmI really loved those experimentation. avnerus gave me your web site when I saw him in Montreal after the AI phase test of the Marrow project.In my master, I want to use AI to make an intelligent CyberSculpture/digital stuff !! I would be curious to see what were the image … Read more Synthetic Selfies (2018 -) – JUKKA HAUTAMÄKI


 
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A Beginner’s Guide to Generative Adversarial Networks (GANs) | Pathmind

A Beginner’s Guide to Generative Adversarial Networks (GANs) You might not think that programmers are artists, but programming is an extremely creative profession. It’s logic-based creativity. – John Romero Generative Adversarial Network Definition Generative adversarial networks (GANs) are algorithmic architectures that use two neural networks, pitting one against the other (thus the “adversarial”) in order … Read more A Beginner’s Guide to Generative Adversarial Networks (GANs) | Pathmind


 
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Generative adversarial network – Wikipedia

A generative adversarial network (GAN) is a class of machine learning systems invented by Ian Goodfellow and his colleagues in 2014.[1] Two neural networks contest with each other in a game (in the sense of game theory, often but not always in the form of a zero-sum game). Given a training set, this technique learns … Read more Generative adversarial network – Wikipedia


 
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