gptkbp:instance_of
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gptkb:Ganon
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gptkbp:advances
|
generative models
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gptkbp:applies_to
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progressive growing
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gptkbp:based_on
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GAN architecture
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gptkbp:can_create
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high-resolution images
realistic textures
diverse categories of images
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gptkbp:developed_by
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gptkb:Deep_Mind
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gptkbp:enhances
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diversity of generated images
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gptkbp:has
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multiple variants
a large number of parameters
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gptkbp:has_achieved
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state-of-the-art results
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https://www.w3.org/2000/01/rdf-schema#label
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Big GAN
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gptkbp:improves
|
subsequent models
image generation quality
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gptkbp:introduced_in
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gptkb:2018
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gptkbp:is
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scalable
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gptkbp:is_a_framework_for
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unsupervised learning
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gptkbp:is_a_research_topic_in
|
computer vision
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gptkbp:is_a_subject_of
|
machine learning studies
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gptkbp:is_a_tool_for
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creative applications
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gptkbp:is_applicable_to
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video game design
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gptkbp:is_associated_with
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gptkb:Artificial_Intelligence
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gptkbp:is_cited_in
|
academic papers
|
gptkbp:is_compared_to
|
other GANs
|
gptkbp:is_evaluated_by
|
gptkb:Image_Net_dataset
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gptkbp:is_featured_in
|
AI conferences
|
gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
|
gptkbp:is_influenced_by
|
gptkb:DCGAN
|
gptkbp:is_known_for
|
high fidelity images
high-resolution outputs
|
gptkbp:is_part_of
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gptkb:AI_technology
Deep Mind's research portfolio
the evolution of GANs
|
gptkbp:is_recognized_for
|
its scalability
|
gptkbp:is_related_to
|
gptkb:Style_GAN
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gptkbp:is_trained_in
|
distributed systems
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gptkbp:is_used_for
|
data augmentation
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gptkbp:is_used_in
|
art generation
image editing tools
|
gptkbp: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
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gptkbp:notable_technology
|
image synthesis
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gptkbp:requires
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high computational resources
|
gptkbp:type_of
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gptkb:AI_technology
|
gptkbp:uses
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class-conditional generation
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gptkbp:utilizes
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large batch sizes
|
gptkbp:bfsParent
|
gptkb:Google_Brain_team
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gptkbp:bfsLayer
|
4
|