Generative models in Tensorflow 2”

GitHub, by Tim Sainburg: https://github.com/timsainb/tensorflow2-generative-models/

#deeplearning #generativeadversarialnetworks #tensorflow #technology

Deep Compressed Sensing
Wu et al.: https://arxiv.org/pdf/1905.06723.pdf
#deeplearning #generativeadversarialnetworks #technology

GAN Lab: Play with Generative Adversarial Networks (GANs) in your browser!
By created by Minsuk Kahng, Nikhil Thorat, Polo Chau, Fernanda Viégas, and Martin Wattenberg: https://poloclub.github.io/ganlab/
Research paper: https://minsuk.com/research/papers/kahng-ganlab-vast2018.pdf
#AI #ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks

Deep Compressed Sensing
Wu et al.: https://arxiv.org/pdf/1905.06723.pdf
#deeplearning #generativeadversarialnetworks #technology

SinGAN: Learning a Generative Model from a Single Natural Image
Shaham et al.: https://arxiv.org/abs/1905.01164v1
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Zakharov et al.: https://arxiv.org/abs/1905.08233
#ComputerVision #GenerativeAdversarialNetworks #MachineLearning

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Zakharov et al.: https://arxiv.org/abs/1905.08233
Video: https://youtu.be/p1b5aiTrGzY
Animating heads using only few shots of target person (or even 1 shot). Keypoints, adaptive instance norms and GANs.
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Zakharov et al.: https://arxiv.org/abs/1905.08233

@ArtificialIntelligenceArticles

#ComputerVision #GenerativeAdversarialNetworks #MachineLearning

"Wasserstein GAN"

Written by James Allingham: http://www.depthfirstlearning.com/2019/WassersteinGAN

#DeepLearning #GenerativeModels #GenerativeAdversarialNetworks

SinGAN: Learning a Generative Model from a Single Natural Image
Shaham et al.: https://arxiv.org/abs/1905.01164v1
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks

Make music with GANs

GANSynth is a new method for fast generation of high-fidelity audio.

🎵 Examples: http://goo.gl/magenta/gansynth-examples
⏯ Colab: http://goo.gl/magenta/gansynth-demo
📝 Paper: http://goo.gl/magenta/gansynth-paper
💻 Code: http://goo.gl/magenta/gansynth-code
⌨️ Blog: http://magenta.tensorflow.org/gansynth



#artificialintelligence #deeplearning #generativeadversarialnetworks

GAN Lab: Play with Generative Adversarial Networks (GANs) in your browser!
By created by Minsuk Kahng, Nikhil Thorat, Polo Chau, Fernanda Viégas, and Martin Wattenberg: https://poloclub.github.io/ganlab/
Research paper: https://minsuk.com/research/papers/kahng-ganlab-vast2018.pdf
#AI #ArtificialIntelligence #GenerativeAdversarialNetworks