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COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder [article]

Kuniaki Saito, Kate Saenko, Ming-Yu Liu
2020 arXiv   pre-print
To address the issue, we propose a new few-shot image translation model, COCO-FUNIT, which computes the style embedding of the example images conditioned on the input image and a new module called the  ...  Few-shot unsupervised image-to-image translation further attempts to generalize the model to an unseen domain by leveraging example images of the unseen domain provided at inference time.  ...  To highlight, we use a novel style encoder called the content-conditioned style encoder where the content image is also used in computing the style code for few-shot unsupervised image-to-image translation  ... 
arXiv:2007.07431v3 fatcat:wej2dphnsvfvpi4wey7vtekv6e

Image-to-Image Translation: Methods and Applications [article]

Yingxue Pang, Jianxin Lin, Tao Qin, Zhibo Chen
2021 arXiv   pre-print
Image-to-image translation (I2I) aims to transfer images from a source domain to a target domain while preserving the content representations.  ...  segmentation, style transfer, restoration, and pose estimation.  ...  [188] therefore proposed COCO-FUNIT to redesign a content-conditioned style encoder that interpolates content information into a style code.  ... 
arXiv:2101.08629v2 fatcat:i6pywjwnvnhp3i7cmgza2slnle