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VeGANs

A library to easily train various existing GANs (Generative Adversarial Networks) in PyTorch: https://github.com/unit8co/vegans

#pytorch #GAN #GenerativeAdversarialNetworks #MachineLearning
​​Neural network that turns sketches into realistic photo.

Paper is called «Semantic Image Synthesis with Spatially-Adaptive Normalization».

#CVPR19 oral paper on a new conditional normalization layer for semantic image synthesis #SPADE and its demo app #GauGAN

ArXiV: https://arxiv.org/abs/1903.07291
Website: https://nvlabs.github.io/SPADE/

#GAN #CV #DL
Head animation from single shot by #SamsungAI team

Samsung researchers have released a model that can generate faces in new poses from just a single image/frame (for each of face, pose). Done by building a well-trained landmark model in advance & one-shotting from that, using keypoints, adaptive instance norms and GANs. Model performs no 3D face modelling!

ArXiV: https://arxiv.org/abs/1905.08233v1
Youtube: https://www.youtube.com/watch?v=p1b5aiTrGzY

#GAN #CV #DL
AI Portraits of You

"AI Portraits Ars is able to paint portraits in real time at 4k resolution. You will find yourself in front of a mirror and feel thousands Rembrandt, Caravaggio, Titian portraying you moment after moment."

By MIT-IBM Watson AI Lab: https://aiportraits.com/#

#DeepLearning #GenerativeAdversarialNetwork #GAN
Lifelong GAN: Continual Learning for Conditional Image Generation
Zhai et al.: https://arxiv.org/abs/1907.10107
#deeplearning #generativemodels #GAN
Lifelong GAN: Continual Learning for Conditional Image Generation
Zhai et al.: https://arxiv.org/abs/1907.10107
#deeplearning #generativemodels #GAN
Improving sample diversity of a pre-trained, class-conditional GAN by changing its class embeddings
Qi Li, Long Mai, Anh Nguyen: http://anhnguyen.me/project/biggan-am/
#DeepLearning #GenerativeAdversarialNetworks #GAN