ββNeural network that turns sketches into realistic photo.
Paper is called Β«Semantic Image Synthesis with Spatially-Adaptive NormalizationΒ».
#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 Β«Semantic Image Synthesis with Spatially-Adaptive NormalizationΒ».
#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
ββπ₯Interactive demo of GAN turning doodles into beautiful pictures
NVidia released #GauGAN for anyone to use. Trained on 1M images, the #GAN tool automatically turns doodles into photorealistic landscapes.
Project page: https://www.nvidia.com/en-us/research/ai-playground/
Interactive demo: http://nvidia-research-mingyuliu.com/gaugan
#Nvidia #CV #DL
NVidia released #GauGAN for anyone to use. Trained on 1M images, the #GAN tool automatically turns doodles into photorealistic landscapes.
Project page: https://www.nvidia.com/en-us/research/ai-playground/
Interactive demo: http://nvidia-research-mingyuliu.com/gaugan
#Nvidia #CV #DL