|
gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:applies_to
|
gptkb:musician
gptkb:museum
art generation
video game design
face synthesis
|
|
gptkbp:architectural_style
|
gptkb:Deep_Learning
deep learning
|
|
gptkbp:based_on
|
gptkb:Generative_Adversarial_Networks
GA Ns
|
|
gptkbp:controls
|
style and features
|
|
gptkbp:developed_by
|
gptkb:DJ
|
|
gptkbp:features
|
style transfer
|
|
gptkbp:first_released
|
gptkb:2018
|
|
gptkbp:has_impact_on
|
gptkb:technology
machine learning research
AI art community
|
|
gptkbp:has_programs
|
gptkb:musician
gptkb:film_production_company
gptkb:Photographer
gptkb:animated_film
gptkb:battle
social media
art generation
video game design
face generation
|
|
gptkbp:has_version
|
Style GA N2
Style GA N3
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Style GAN
|
|
gptkbp:improves
|
image quality
GA Ns
|
|
gptkbp:is_criticized_for
|
ethical concerns
potential misuse
deepfake technology
|
|
gptkbp:is_explored_in
|
gptkb:academic_research
industry applications
artistic projects
creative coding
|
|
gptkbp:is_influenced_by
|
gptkb:Pixel_CNN
gptkb:Variational_Autoencoders
Deep Learning advancements
|
|
gptkbp:is_known_for
|
controllable image generation
high-quality image synthesis
|
|
gptkbp:is_part_of
|
gptkb:Artificial_Intelligence
gptkb:technology
image processing
computer vision
|
|
gptkbp:is_related_to
|
gptkb:Deep_Convolutional_Neural_Networks
gptkb:microprocessor
|
|
gptkbp:is_supported_by
|
universities
research institutions
tech companies
NVIDIAGP Us
|
|
gptkbp:is_used_for
|
image generation
image synthesis
|
|
gptkbp:is_used_in
|
research papers
commercial applications
|
|
gptkbp:successor
|
Style GA N2
|
|
gptkbp:uses
|
gptkb:adaptive_instance_normalization
progressive growing
|
|
gptkbp:bfsParent
|
gptkb:television_channel
|
|
gptkbp:bfsLayer
|
3
|