|
gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:bfsLayer
|
4
|
|
gptkbp:bfsParent
|
gptkb:NVIDIA_Style_GAN
|
|
gptkbp:allows
|
Mode Collapse
Training Instability
|
|
gptkbp:applies_to
|
Image Generation
|
|
gptkbp:based_on
|
Adversarial Training
|
|
gptkbp:can_create
|
High-Resolution Images
Realistic Textures
Diverse Outputs
|
|
gptkbp:consists_of
|
gptkb:Pokémon
Discriminator
|
|
gptkbp:developed_by
|
Radford, Metz, and Chintala
|
|
gptkbp:enhances
|
Image Quality
|
|
gptkbp:has_programs
|
Facial Recognition
Medical Imaging
Video Generation
|
|
gptkbp:has_variants
|
gptkb:Conditional_GAN
gptkb:Cycle_GAN
gptkb:Pix2_Pix
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Convolutional GAN
|
|
gptkbp:improves
|
Stability of Training
|
|
gptkbp:introduced
|
gptkb:2015
|
|
gptkbp:is_cited_in
|
Academic Journals
Conferences
Numerous Research Papers
|
|
gptkbp:is_evaluated_by
|
gptkb:Fréchet_Inception_Distance
gptkb:Celeb_A
gptkb:LSUN
Inception Score
Benchmark Datasets
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
gptkb:television_channel
gptkb:Deep_Learning
Generative Models
|
|
gptkbp:is_part_of
|
Deep Learning Frameworks
Neural Network Architectures
Generative Models Family
|
|
gptkbp:is_popular_in
|
gptkb:viewpoint
gptkb:Artificial_Intelligence
gptkb:software_framework
|
|
gptkbp:is_related_to
|
gptkb:Variational_Autoencoders
|
|
gptkbp:is_supported_by
|
Research Collaborations
Community Contributions
Open Source Implementations
|
|
gptkbp:is_used_in
|
gptkb:museum
Super Resolution
Art Generation
|
|
gptkbp:requires
|
Large Datasets
|
|
gptkbp:training
|
gptkb:Adam_Optimizer
Backpropagation
Stochastic Gradient Descent
|
|
gptkbp:uses
|
gptkb:television_channel
|
|
gptkbp:utilizes
|
gptkb:Batch_Normalization
|