Golden
StarGAN

StarGAN

A framework to for multi-domain image-to-image translation using a single model

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Edits on 14 Apr 2019
Jessica Karpinski
Jessica Karpinski edited on 14 Apr 2019 8:44 pm
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Edits on 26 Oct 2018
Jude Gomila
Jude Gomila edited on 26 Oct 2018 5:41 pm
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Article

StarGAN is a generative adversarial network capable of learning mappings among multiple domains. It has a unified modeling architecture that allows simultaneous training of multiple datasets and different domains within a single network.

Edits on 7 Aug 2018
Golden AI"Linkify text links in standard tables"
Golden AI edited on 7 Aug 2018 11:18 pm
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Further reading

Author
Title
Link
Type

Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim and Jaegul Choo

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Academic paper

Documentaries, videos and podcasts

Title
Date
Link

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

26 November 2017

Edits on 5 Jun 2018
Tianchang He
Tianchang He edited on 5 Jun 2018 8:47 pm
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Further reading (+5/-5 characters)

Further reading

Author
Title
Link
Type

Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim and Jaegul Choo

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Academic Paperpaper

Edits on 1 Jun 2018
Golden AI"Merging standard tables"
Golden AI edited on 1 Jun 2018 3:35 am
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Academic papers (-1 rows) (-3 cells) (-209 characters)
Further reading (+1 rows) (+4 cells) (+223 characters)

Academic papers

Author
Title
Link

Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim and Jaegul Choo

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Further reading

Author
Title
Link
Type

Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim and Jaegul Choo

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Academic Paper

Edits on 25 May 2018
Tianchang He
Tianchang He edited on 25 May 2018 10:56 pm
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Article (+30/-30 characters)

Article

StarGAN is a generative adversarial networkgenerative adversarial network capable of learning mappings among multiple domains. It has a unified modeling architecture that allows simultaneous training of multiple datasets and different domains within a single network.

Edits on 25 Jan 2018
Melanie Manipula
Melanie Manipula edited on 25 Jan 2018 1:43 am
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Topic thumbnail

StartGAN StarGAN

A framework to for multi-domain image-to-image translation using a single model

Article

StarGAN is a generative adversarial network capable of learning mappings among multiple domains. It has a unified modeling architecture that allows simultaneous training of multiple datasets and different domains within a single network.



StarGAN is a novel and scalable approach to perform image-to-image translation among multiple

domains using a single model. It can translate input images to any target domain. It can generate higher visual quality images compared to existing methods. It can perform facial attribute transfer and facial expression synthesis.



Academic papers

Author
Title
Link

Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim and Jaegul Choo

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Documentaries, videos and podcasts

Title
Date
Link

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

26 November 2017

Edits on 20 Jan 2018
Melanie Manipula"Initial topic creation"
Melanie Manipula created this topic on 20 Jan 2018 7:06 pm
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 StartGAN

A framework to for multi-domain image-to-image translation using a single model

Article



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