Neural Network Dreaming of Landscape Paintings for 10 Minutes - by Robbie Barrat:
tag > ML
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Computational Power and the Social Impact of Artificial Intelligence:
https://arxiv.org/abs/1803.08971 #ML #Politics
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Generative Design in Minecraft (GDMC), Settlement Generation Competition:
https://arxiv.org/abs/1803.09853 #Generative #Design #Games #ML
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Expressive Speech Synthesis with Tacotron: #ML #Generative #Music
https://research.googleblog.com/2018/03/expressive-speech-synthesis-with.html
Research Paper: https://google.github.io/tacotron/publications/global_style_tokens...
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Learning to write programs that generate images:
https://deepmind.com/blog/learning-to-generate-images/ #ML #Generative #Creativity -
"Speech-Driven Facial Reenactment Using Conditional Generative Adversarial Networks":
https://arxiv.org/abs/1803.07461v1
Abstract: "We present a novel approach to generating photo-realistic images of a face with accurate lip sync, given an audio input. By using a recurrent neural network, we achieved mouth landmarks based on audio features. We exploited the power of conditional generative adversarial networks to produce highly-realistic face conditioned on a set of landmarks. These two networks together are capable of producing sequence of natural faces in sync with an input audio track."
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"Data Augmentation Generative Adversarial Networks":
https://arxiv.org/abs/1711.04340v3 #ML #Generative
Abstract: "Effective training of neural networks requires much data. In the low-data regime, parameters are underdetermined, and learnt networks generalise poorly. Data Augmentation alleviates this by using existing data more effectively. However standard data augmentation produces only limited plausible alternative data. Given there is potential to generate a much broader set of augmentations, we design and train a generative model to do data augmentation."
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How Does A.I. Art Stack Up Against Human Art? With Jerry Saltz by HBO :
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What is Adobe Sensei? A introduction video: https://www.adobe.com/sensei.html
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Computational Creativity as Meta Search - by Mark Riedl: #ML #Generative #Creativity https://medium.com/@mark_riedl/computational-creativity-as-meta-search-6cad95da923b
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#Prediction: IKEA in 2025: a A.I system generates unique furniture designs in realtime, based on your desires expressed in words or pictures. The design is then 3D printed and delivered to you within 10h. The assembly is guided by a augmented reality app. #ML #Generative
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"The use of plant models in deep learning: an application to leaf counting in rosette plants": http://algorithmicbotany.org/papers/pmdl.bmc2018.html. #ML #Generative #FFHCI
From the creator of the "Algorithmic Botany" book: http://algorithmicbotany.org/papers/
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RL-Adventure: "Pytorch easy-to-follow step-by-step Deep Q Learning tutorial with clean readable code": https://github.com/higgsfield/RL-Adventure #ML
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Predictably Smart: Machine learning works best when users don’t have to think twice:
https://design.google/library/predictably-smart/
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Generative design software exploits AI to change how new vehicles, equipment are designed:
https://www.sae.org/news/2018/03/generative-design-software-and-ai
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Melody Mixer: Using Deeplearn.js to Mix Melodies in the Browser:
https://medium.com/@torinblankensmith/melody-mixer-using-deeplearn-js-to-mi..
Experiment: https://melodymixer.withgoogle.com/ai/melody-mixer/view/
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Neural Voice Cloning with a Few Samples:
https://arxiv.org/abs/1802.06006v2 Audio Demos: https://audiodemos.github.io/
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Text2Shape: Generating Shapes from Natural - Language by Learning Joint Embeddings:
https://arxiv.org/abs/1803.08495v1 - http://text2shape.stanford.edu/
