|
gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:bfsLayer
|
4
|
|
gptkbp:bfsParent
|
gptkb:Google_Brain_team
|
|
gptkbp:applies_to
|
video game design
progressive growing
|
|
gptkbp:based_on
|
GAN architecture
|
|
gptkbp:can_create
|
high-resolution images
realistic textures
diverse categories of images
|
|
gptkbp:developed_by
|
gptkb:philosopher
|
|
gptkbp:enhances
|
diversity of generated images
|
|
gptkbp:has
|
multiple variants
a large number of parameters
|
|
gptkbp:has_achievements
|
state-of-the-art results
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Big GAN
|
|
gptkbp:improves
|
subsequent models
image generation quality
|
|
gptkbp:innovation
|
generative models
|
|
gptkbp:introduced
|
gptkb:2018
|
|
gptkbp:is
|
scalable
|
|
gptkbp:is_a_framework_for
|
unsupervised learning
|
|
gptkbp:is_a_tool_for
|
creative applications
|
|
gptkbp:is_associated_with
|
gptkb:Artificial_Intelligence
|
|
gptkbp:is_cited_in
|
academic papers
|
|
gptkbp:is_compared_to
|
other GA Ns
|
|
gptkbp:is_evaluated_by
|
gptkb:Image_Net_dataset
|
|
gptkbp:is_featured_in
|
AI conferences
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
|
|
gptkbp:is_influenced_by
|
gptkb:DCGAN
|
|
gptkbp:is_known_for
|
high fidelity images
high-resolution outputs
|
|
gptkbp:is_part_of
|
gptkb:Research_Institute
Deep Mind's research portfolio
the evolution of GA Ns
|
|
gptkbp:is_recognized_for
|
its scalability
|
|
gptkbp:is_related_to
|
gptkb:Style_GAN
|
|
gptkbp:is_used_for
|
data augmentation
|
|
gptkbp:is_used_in
|
art generation
image editing tools
|
|
gptkbp:related_model
|
can produce high-quality images
can be adapted for various tasks
can be fine-tuned
has a large training dataset
learns from data
uses adversarial training
|
|
gptkbp:requires
|
high computational resources
|
|
gptkbp:research_interest
|
computer vision
|
|
gptkbp:subject
|
machine learning studies
|
|
gptkbp:technology
|
image synthesis
|
|
gptkbp:training
|
distributed systems
|
|
gptkbp:type_of
|
gptkb:software_framework
|
|
gptkbp:uses
|
class-conditional generation
|
|
gptkbp:utilizes
|
large batch sizes
|