Learning decomposed subspaces for supervised bidirectional image generation

Learning decomposed subspaces for supervised bidirectional image generation

This study addresses the task of supervised cross-domain image generation, which aims to translate an image from the source domain to the target domain, guided by a reference image from the latter. The key difference between the authors setting and the recently proposed domain guided photogeneration...

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Bibliographic Details
Main Authors: Peng Lu, Hangyu Lin, Yanwei Fu, Gao Huang, Libo Wu
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:Cognitive Computation and Systems
Subjects:
learning (artificial intelligence)
computer vision
supervised bidirectional image generation
supervised cross-domain image generation
source domain
target domain
reference image
bidirectional cross-domain image generation
shared semantics
personalised semantic subspaces
shared semantic subspace
high-quality images
decomposed subspace learning
domain guided photogeneration
Online Access:https://digital-library.theiet.org/content/journals/10.1049/ccs.2019.0009

Internet

https://digital-library.theiet.org/content/journals/10.1049/ccs.2019.0009

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