H-GAN: the power of GANs in your Hands Article Swipe
Sergiu Oprea
,
Giorgos Karvounas
,
Pablo Martínez-González
,
Νikolaos Kyriazis
,
Sergio Orts‐Escolano
,
Iason Oikonomidis
,
Alberto García-García
,
Aggeliki Tsoli
,
José García‐Rodríguez
,
Antonis Argyros
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1109/ijcnn52387.2021.9534144
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1109/ijcnn52387.2021.9534144
We present HandGAN (H-GAN), a cycle-consistent adversarial learning approach implementing multi-scale perceptual discriminators. It is designed to translate synthetic images of hands to the real domain. Synthetic hands provide complete ground-truth annotations, yet they are not representative of the target distribution of real-world data. We strive to provide the perfect blend of a realistic hand appearance with synthetic annotations. Relying on image-to-image translation, we improve the appearance of synthetic hands to approximate the statistical distribution underlying a collection of real images of hands. H-GAN tackles not only the cross-domain tone mapping but also structural differences in localized areas such as shading discontinuities. Results are evaluated on a qualitative and quantitative basis improving previous works. Furthermore, we relied on the hand classification task to claim our generated hands are statistically similar to the real domain of hands.
Related Topics
Concepts
Computer science
Domain (mathematical analysis)
Synthetic data
Artificial intelligence
Translation (biology)
Ground truth
Task (project management)
Classification of discontinuities
Image (mathematics)
Computer vision
Pattern recognition (psychology)
Mathematics
Engineering
Messenger RNA
Gene
Chemistry
Mathematical analysis
Biochemistry
Systems engineering
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1109/ijcnn52387.2021.9534144
- OA Status
- green
- References
- 51
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3145747675
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3145747675Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/ijcnn52387.2021.9534144Digital Object Identifier
- Title
-
H-GAN: the power of GANs in your HandsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-07-18Full publication date if available
- Authors
-
Sergiu Oprea, Giorgos Karvounas, Pablo Martínez-González, Νikolaos Kyriazis, Sergio Orts‐Escolano, Iason Oikonomidis, Alberto García-García, Aggeliki Tsoli, José García‐Rodríguez, Antonis ArgyrosList of authors in order
- Landing page
-
https://doi.org/10.1109/ijcnn52387.2021.9534144Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2103.15017Direct OA link when available
- Concepts
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Computer science, Domain (mathematical analysis), Synthetic data, Artificial intelligence, Translation (biology), Ground truth, Task (project management), Classification of discontinuities, Image (mathematics), Computer vision, Pattern recognition (psychology), Mathematics, Engineering, Messenger RNA, Gene, Chemistry, Mathematical analysis, Biochemistry, Systems engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
51Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
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