Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps-Reference-Cited by-同舟云学术

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Kim Seung Wook¹,Kreis Karsten¹,Li Daiqing¹,Torralba Antonio²,Fidler Sanja¹

Affiliation:

1. NVIDIA

2. MIT

Publisher

IEEE

Link

Reference74 articles.

1. Indomain gan inversion for real image editing;zhu;European Conference on Computer Vision,0

3. Differentiable augmentation for data-efficient gan training;zhao;Conference on Neural Information Processing Systems (NeurIPS),2020

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