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Mathematical Problems in Engineering
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2020
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Article
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Tab 1
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Research Article
Weakly Supervised GAN for Image-to-Image Translation in the Wild
Table 1
Quantitative evaluations in terms of cats to dogs (A), human faces to cats (B), human faces to dogs (C), and human faces to animes (D) task from different models.
Tasks
Baselines
AMT (%)
Cf
Cs
A
CycleGAN
2% ± 1.0
0.15
1.46
Imo-GAN
26% ± 1.0
0.76
1.27
MUNIT
23% ± 1.0
0.71
1.28
Ours
2
24% ± 1.0
0.73
1.20
Ours
39%
±
1.0
0.92
1.06
B
CycleGAN
2% ± 1.0
0.15
1.48
Imo-GAN
23% ± 1.0
0.72
1.36
MUNIT
25% ± 1.0
0.76
1.34
Ours
2
26% ± 1.0
0.78
1.29
Ours
28%
±
1.0
0.82
1.26
C
CycleGAN
2% ± 1.0
0.11
1.62
Imo-GAN
20% ± 1.0
0.46
1.43
MUNIT
23% ± 1.0
0.61
1.40
Ours
2
24% ± 1.0
0.66
1.38
Ours
26%
±
1.0
0.79
1.24
D
CycleGAN
2% ± 1.0
0.11
1.63
Imo-GAN
20% ± 1.0
0.46
1.43
MUNIT
23% ± 1.0
0.61
1.40
Ours
2
25% ± 1.0
0.67
1.37
Ours
26%
±
1.0
0.78
1.26