A new deep learning model developed by NVIDIA Research can turn rough doodles into photorealistic masterpieces with breathtaking ease. GauGAN converts segmentation maps into stunning lifelike images. https://bit.ly/2ugUJtv #gaugan #nvidia #deeplearning
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
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
arXiv.org
Semantic Image Synthesis with Spatially-Adaptive Normalization
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...
A #GauGAN timelapse video as a demo for landscape generation
Link: https://www.nvidia.com/en-us/research/ai-playground/
#GAN #Video #Nvidia
Link: https://www.nvidia.com/en-us/research/ai-playground/
#GAN #Video #Nvidia
NVIDIA
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