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GAN ,
@JEINA
2019
2019
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# _ _
‘ ’
#
,
#
,
#
“ ” , “ ”
#
,
2
2019
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2019
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# _
# _
# _ _
,
5
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1.
-
-
- /
2.
-
- (GAN)
-
- &
3.
- &
6
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#
# ,
#
#
https://jeinalog.tistory.com/15
https://jeinalog.tistory.com/16
https://github.com/jeina7/Handwriting_styler
7
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# -
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# -
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/
# -
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(28×28)
# -
,
Style Transfer ?
!
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# -
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# -
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# -
“
”
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# -
“
”
?
?
?
…
?
15
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# -
?
Reference !
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# -
https://github.com/kaonashi-tyc/zi2zi
zi2zi
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# -
https://kaonashi-tyc.github.io/2017/04/06/zi2zi.html
zi2zi
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# -
zi2zi
tensor?ow
https://github.com/kaonashi-tyc/zi2zi/blob/master/model/unet.py 19
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# -
zi2zi
tensor?ow
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# -
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# -
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# -
: !
,
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https://jeinalog.tistory.com/13
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# -
, ..
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# -
: !
Abstract
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# -
Introduction
: !
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# -
: !
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# / -
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# / -
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# / -
…
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# / -
??? ???
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# / -
zi2zi:	tensorflow
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# / -
PyTorch?	???	??
33
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#
1. : / ,
/
2. :
3. / :
,
34
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# - 2 step training
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# - 2 step training
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# - 2 step training
,
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# - 2 step training
-
-
-
-
-
-
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# - GAN & Unet
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# - GAN & Unet
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# - GAN & Unet
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# - GAN & Unet
Input : Noise
Output : Target Image
# Generator : Noise
# Discriminator : Fake Image , Real Image
(Adversarial) , Generator Real
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# - GAN & Unet
Input : Source Image ( )
Output : Target Image ( )
# : ,
, Noise GAN !
43
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# - GAN & Unet
Input : Source Image ( )
Output : Target Image ( )
# “ " , !
44
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# - GAN & Unet
45
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# - GAN & Unet
Input : Source Image ( )
Output : Target Image ( )
#
# Auto Encoder & GAN
46
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# - GAN & Unet
Input : Source Image ( )
Output : Target Image ( )
#
# Auto Encoder & GAN
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# - GAN & Unet
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# - GAN & Unet
Category vector
Category vector
49
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# - GAN & Unet
Encoder Decoder
Category
vector
50
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# - GAN & Unet
Concatenate
Category
vector
Encoder Decoder ,
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# -
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# -
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# -
Target + source
25
3,000
75,000
54
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# -
55
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# -
Crop Resize Padding
56https://github.com/jeina7/Handwriting_styler/blob/master/common/utils.py
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# -
Crop Resize Padding
57
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# Pre-Training & Transfer Learning
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# Pre-Training & Transfer Learning
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# Pre-Training & Transfer Learning
(150 epoch)
60
GPU : P100 (50hrs)
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# Pre-Training & Transfer Learning
61
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# Pre-Training & Transfer Learning
62
(350 epoch)GPU : P100 (20min)
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Start Ground Truth
# Pre-Training & Transfer Learning
63
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Result Ground Truth
# Pre-Training & Transfer Learning
64
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[Ground Truth]
[Generated]
# Pre-Training & Transfer Learning
65
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# Interpolation -
66
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# Interpolation -
67
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WALKING IN THE LATENT SPACE“
”
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks, 2016
# Interpolation -
68
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Category vector
# Interpolation -
69
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Category vector
[0, 0, 0, 0, 1, 0, 0, … ]
one-hot vector
Gaussian normal random vector
[0.253.., 0.891.., 0.412.., 0.309.., … ] (128 )
# Interpolation -
70
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# Interpolation -
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STEP!
# Interpolation -
72
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STEP!
,
# Interpolation -
73
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# Interpolation -
74
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‘ ’ ,
Mapping
# Interpolation -
75
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# &
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# &
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# &
: /
:
: ,
78
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# &
? ,
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# &
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# &
0 ×10 =0
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# &
0 ×10 =0
1 ×10 =10
82
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/8483
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#
Jeina’s De’vLog https://jeinalog.tistory.com/
GitHub https://github.com/jeina7
, Wrinie (1) -
https://jeinalog.tistory.com/15
, Wrinie (2) -
https://jeinalog.tistory.com/16
https://github.com/jeina7/Handwriting_styler
84
E-mail jeina.code@gmail.com
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My handwriting styler