Painting with GANPaint!
Link
❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN

Fantastic new resource on GANs from MIT, Google, and others: GAN Dissection, Visualizing and Understanding Generative Adversarial Networks.

Code, paper, website at:

https://lnkd.in/fzP79hZ

#ArtificialIntelligence #GAN #MachineLearning #AI

❇️ @AI_Python
✴️ @AI_Python_EN

Style-based GANs – Generating and Tuning Realistic Artificial Faces

#ML #GAN

https://bit.ly/2R5wqN2

If you like our channel, i invite you to share it with your friends

✴️ @AI_Python_EN
🗣 @AI_Python_Arxiv

Beautiful Playground - #styleGAN is on Github https://github.com/NVlabs/stylegan | Yes its stunning - so is its energy consumption | i cant really tell why the environmental impacts of those emerging tech is not discussed as much as they should be | #gan #MachineLearning

❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN

This person does not exist

By Philip Wang: https://lnkd.in/eEWxyYu

#GenerativeAdversarialNetworks #GAN

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv

Self Attention GAN is a image generative model which published in 2018. My project aims to generate high resolution and vivid Hearthstone cards using PyTorch. Self attention map and model training details have been visualised in tensor-board.

Repository: https://lnkd.in/fA4uMYZ
Paper: https://lnkd.in/ff6pnuj

#AI #deeplearning #GAN
#computervision

✴️ @AI_Python_EN

Glad to see that our #GAN research works enable people to "generate realistic dance videos of NBA players for in-game entertainment." #pix2pixHD, #vid2vid https://medium.com/@getxpire/how-we-used-ai-to-make-nba-players-dance-2fdbe6c63a97

✴️ @AI_Python_EN

Excellent new GAN contribution from Berkeley, NVIDIA and MIT: Semantic Image Synthesis with Spatially-Adaptive Normalization (SPADE). Do checkout images and videos, it really is good.

"We propose spatially-adaptive normalization, a simple but effective layer for synthesizing photorealistic images given an input semantic layout. Previous methods directly feed the semantic layout as input to the network, which is then processed through stacks of convolution, normalization, and nonlinearity layers. We show that this is suboptimal because the normalization layers tend to wash away semantic information. To address the issue, we propose using the input layout for modulating the activations in normalization layers through a spatially-adaptive, learned transformation. Experiments on several challenging datasets demonstrate the advantage of the proposed method compared to existing approaches, regarding both visual fidelity and alignment with input layouts. Finally, our model allows users to easily control the style and content of synthesis results as well as create multi-modal results."

website: https://lnkd.in/fhi8Fmq
paper: https://lnkd.in/fv8HCGn
github (code coming soon): https://lnkd.in/fwPnMxv

#gan #deeplearning #artificialintelligence

✴️ @AI_Python_EN

❇️Top #GAN Research Papers Every Machine Learning Enthusiast Must Peruse

https://www.analyticsindiamag.com/top-gan-research-papers-every-machine-learning-enthusiast-must-peruse/

✴️ @AI_Python_EN

Building a #Conversational #AI #Agent for medical and healthcare services is one of the products in our pipeline in the coming months.

Here is how a typical chatbot recirculation recurrent #pipeline looks like

#CNN #RNN #GAN #DeepLearning #NLP

✴️ @AI_Python_EN

This is lecture 3 in the series on Wasserstein #GAN. In this lecture, basic understanding of Wasserstein Generative

Adversarial Network (WGAN) is discussed

videos


✴️ @AI_Python_EN

FuturePose - Mixed Reality Martial Arts Training Using Real-Time 3D Human Pose Forecasting With a RGB Camera

🌎 Paper
🌎 video

#GAN

✴️ @AI_Python_EN

How I developed a C.N.N. that recognizes emotions and broke into the Kaggle top 10

#GAN #facesrecognize

🌎 link

✴️ @AI_Python_EN

Check out our new #GAN work on translating images to unseen domains in the test time with few example images.

Live demo
http://bit.ly/2LyW4Y3

Project page
http://bit.ly/2HbcRLf

Paper
http://bit.ly/2Ly3VVX

Video
http://bit.ly/2Va86a3
#NVIDIA

✴️ @AI_Python_EN

Machine Learning for Artists
#DeepLearning #MachineLearning #ArtificialIntelligence #neuralnetwork #gan

http://ml4a.github.io/

✴️ @AI_Python_EN

How to make a pizza: Learning a compositional layer-based GAN model. Or “MIT’s AI learns to Become Pizza Guru. All pizza design will soon be automated. ”
https://arxiv.org/abs/1906.02839
#gan #ai #computervision

✴️ @AI_Python_EN

A deep learning model developed by NVIDIA Research turns rough doodles into highly realistic scenes using generative adversarial networks (GANs). Dubbed GauGAN, the tool is like a smart paintbrush, converting segmentation maps into lifelike images.

#GAN #deeplearning

✴️ @AI_Python_EN