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Image Colorization using CycleGAN with semantic and spatial rationality
Bin Li, Yi Lu,
Wei Pang
, Huixin Xu
School of Mathematical & Computer Sciences
Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
36
Citations (Scopus)
Overview
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Dive into the research topics of 'Image Colorization using CycleGAN with semantic and spatial rationality'. Together they form a unique fingerprint.
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Engineering
Rationality
100%
Multiscale
50%
Spatial Information
50%
Generated Image
50%
Color Image
50%
Discriminator
50%
Experimental Result
25%
Real Situation
25%
Scale Feature
25%
Spatial Structure
25%
State-of-the-Art Method
25%
Local Area
25%
Level Semantics
25%
Structure Information
25%
Loss Function
25%
Computer Science
Discriminator
100%
Self-Attention Mechanism
100%
Spatial Information
100%
Higher Semantic Level
50%
Experimental Result
50%
Spatial Structure
50%
INIS
images
100%
color
33%
information
25%
losses
16%
datasets
16%
discriminators
16%
approximations
8%
levels
8%
solutions
8%
capture
8%
flowers
8%