Statements (61)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Model
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:pix2pix
|
| gptkbp:applies_to |
gptkb:Photographer
gptkb:museum autonomous driving facial recognition architecture visualization image synthesis |
| gptkbp:based_on |
pix2pix framework
|
| gptkbp:can_create |
high-resolution images
|
| gptkbp:challenges |
overfitting
data scarcity training instability computational cost domain gap |
| gptkbp:collaborated_with |
research institutions
industry partners |
| gptkbp:controls |
multiple domains
|
| gptkbp:developed_by |
gptkb:University
|
| gptkbp:enables |
style transfer
|
| gptkbp:has_transformation |
aerial images to maps
daytime images to nighttime images labels to images sketches to photos |
| https://www.w3.org/2000/01/rdf-schema#label |
multi-domain pix2pix
|
| gptkbp:improves |
image quality
|
| gptkbp:is_discussed_in |
social media
workshops meetups online forums |
| gptkbp:is_documented_in |
gptkb:conference
academic papers technical reports theses |
| gptkbp:is_evaluated_by |
benchmark datasets
mean squared error (MSE) peak signal-to-noise ratio (PSNR) structural similarity index (SSIM) |
| gptkbp:is_implemented_in |
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch |
| gptkbp:is_influenced_by |
gptkb:pix2pix_HD
gptkb:Cycle_GAN |
| gptkbp:is_part_of |
gptkb:software_framework
gptkb:technology |
| gptkbp:is_popular_in |
artificial intelligence research
|
| gptkbp:is_promoted_by |
gptkb:document
tutorials online courses webinars |
| gptkbp:is_related_to |
deep learning
|
| gptkbp:is_supported_by |
high-performance computing clusters
NVIDIAGP Us |
| gptkbp:is_used_for |
data augmentation
|
| gptkbp:is_used_in |
gptkb:musician
augmented reality image editing computer vision tasks |
| gptkbp:requires |
paired training data
|
| gptkbp:training |
diverse datasets
|
| gptkbp:uses |
conditional Generative Adversarial Networks (c GA Ns)
|