Slide 11
Slide 11 text
11
Tokyo Tech
Optimization
lRegression: L1 distance of RGB
𝐿$%
&'()* = 𝔼 𝑪+,-. −𝑪/.,0 %, 𝐿$%
(1,2. = 𝔼 𝑰+,-. −𝑰/.,0 %
lGAN: Wasserstein distance
𝐿3
&'()* = −𝔼 𝐷4(𝑪+,-.) , 𝐿3
(1,2. = −𝔼 𝐷5(𝑰+,-.)
𝐿6
&'()* = 𝔼 𝐷4
(𝑪+,-.
) - 𝔼 𝐷4
(𝑪/.,0
)
𝐿6
(1,2. = 𝔼 𝐷5(𝑰+,-.) - 𝔼 𝐷5(𝑰/.,0)
l Total loss
𝐿3
= 𝐿3
&'()*+ 𝐿3
(1,2.+ 𝜆𝐿$%
&'()*+ 𝜆𝐿$%
(1,2.
𝐿6
= 𝐿6
&'()*+ 𝐿6
(1,2.