StyleGAN-Tensorflow
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in style_mod function ,why style[:,0] add 1 ?
in file ops.py ,the function style_mod in line 372 ,
def style_mod(x, w):
with tf.variable_scope('StyleMod'):
units = x.shape[-1] * 2
style = fully_connected(w, units=units, gain=1.0, lrmul=1.0)
style = apply_bias(style, lrmul=1.0)
style = tf.reshape(style, [-1, 2, 1, 1, x.shape[-1]])
x = x * (style[:, 0] + 1) + style[:, 1]
my question is why style[:,0] + 1?can anybody explain why do this ? x = x * (style[:, 0] + 1) + style[:, 1] thanks !
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