​The Neural Aesthetic

Notes and around 30 hours of video lectures, by Gene Kogan: https://ml4a.github.io/classes/itp-F18/

#art #artificialintelligence #deeplearning #generativeadversarialnetworks

🔗 ITP-NYU - Fall 2018

 Data Science / Machine Learning / AI / Big Data (VK)

Generative Adversarial Transformers

Drew A. Hudson, C. Lawrence Zitnick: https://arxiv.org/abs/2103.01209

#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks

 Data Science / Machine Learning / AI / Big Data (VK)

Training GANs with Stronger Augmentations via Contrastive Discriminator

Jongheon Jeong, Jinwoo Shin: https://arxiv.org/abs/2103.09742

#GenerativeAdversarialNetworks #DeepLearning #ArtificialIntelligence

 Data Science / Machine Learning / AI / Big Data (VK)

In&Out : Diverse Image Outpainting via GAN Inversion
Cheng et al.: https://arxiv.org/abs/2104.00675
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks

 Data Science / Machine Learning / AI / Big Data (VK)

MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis
Sergei Belousov: https://arxiv.org/abs/2104.04767
#DeepLearning #GenerativeAdversarialNetworks #GAN

 Data Science / Machine Learning / AI / Big Data (VK)

GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds
Hao et al.: https://arxiv.org/abs/2104.07659
#DeepLearning #GenerativeAdversarialNetworks #UnsupervisedLearning

 Data Science / Machine Learning / AI / Big Data (VK)

InfinityGAN: Towards Infinite-Resolution Image Synthesis
Lin et al.: https://arxiv.org/abs/2104.03963
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks

 Data Science / Machine Learning / AI / Big Data (VK)

Generative Adversarial Transformers
Drew A. Hudson, C. Lawrence Zitnick: https://arxiv.org/abs/2103.01209
#DeepLearning #GenerativeAdversarialNetworks #Transformers