|
gptkbp:instance_of
|
gptkb:television_channel
|
|
gptkbp:bfsLayer
|
6
|
|
gptkbp:bfsParent
|
gptkb:Gated_Pixel_CNN
gptkb:Pixel_RNN
|
|
gptkbp:allows
|
Computational resources
Training time
|
|
gptkbp:applies_to
|
Attention mechanisms
|
|
gptkbp:based_on
|
SNAIL architecture
|
|
gptkbp:can_create
|
High-resolution images
|
|
gptkbp:competes_with
|
GA Ns
|
|
gptkbp:developed_by
|
gptkb:philosopher
|
|
gptkbp:exhibited_at
|
State-of-the-art performance
|
|
gptkbp:has_achievements
|
High-quality image synthesis
|
|
gptkbp:has_programs
|
gptkb:viewpoint
gptkb:software_framework
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Pixel SNAIL
|
|
gptkbp:improves
|
Sampling efficiency
|
|
gptkbp:introduced
|
gptkb:2021
|
|
gptkbp:is_compared_to
|
gptkb:Pixel_CNN
gptkb:DALL-E
gptkb:Style_GAN
gptkb:Variational_Autoencoders
|
|
gptkbp:is_documented_in
|
Academic journals
Technical reports
Git Hub repositories
|
|
gptkbp:is_evaluated_by
|
gptkb:Fréchet_Inception_Distance
gptkb:CIFAR-10
gptkb:Celeb_A
Inception Score
User studies
|
|
gptkbp:is_explored_in
|
gptkb:Workshops
gptkb:conference
Conferences
Research papers
Thesis work
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Library
gptkb:Py_Torch
|
|
gptkbp:is_influenced_by
|
Transformer models
|
|
gptkbp:is_part_of
|
Research collaborations
Industry applications
Collaborative studies
Deep learning frameworks
Innovation labs
AI research projects
AI art community
Autoregressive models
Deep Learning research
Generative Adversarial Networks family
|
|
gptkbp:is_supported_by
|
Research institutions
Open-source community
|
|
gptkbp:is_used_for
|
Image Generation
Content creation
Data visualization
Feature extraction
Super-resolution
Style transfer
Image inpainting
|
|
gptkbp:is_used_in
|
Data augmentation
Art generation
|
|
gptkbp:related_to
|
gptkb:microprocessor
|
|
gptkbp:requires
|
High-performance hardware
|
|
gptkbp:training
|
Large datasets
|
|
gptkbp:uses
|
Convolutional layers
|
|
gptkbp:utilizes
|
Pixel-wise autoregression
|