Table 6 Structural parameters of generator and discriminator models.
Generator | Enter channel dimension | Output channel dimension | Input dimension | Output dimension | Convolution kernel dimension | Step |
|---|---|---|---|---|---|---|
deconv1 | 512 | 384 | 4*4 | 8*8 | 3*3 | 2 |
conv-upsample1 | 384 | 128 | 8*8 | 22*22 | 3*3 | 3 |
deconv2 | 384 | 128 | 8*8 | 22*22 | 3*3 | 3 |
concact1 | Feature connection | 256 | Feature connection | 22*22 | \ | \ |
deconv3 | 256 | 48 | 22*22 | 43*43 | 5*5 | 2 |
conv-upsample2 | 256 | 48 | 22*22 | 43*43 | 5*5 | 2 |
concact2 | Feature connection | 96 | Feature connection | 43*43 | \ | \ |
deconv4 | 96 | 16 | 43*43 | 128*128 | 11*11 | 3 |
conv-upsample3 | 96 | 16 | 43*43 | 128*128 | 11*11 | 3 |
concact3 | Feature connection | 32 | Feature connection | 128*128 | \ | \ |
fc | 32 | 3 | 128*128 | 128*128 | 1*1 | 1 |
Discriminator | Enter channel dimension | Output channel dimension | Input dimension | Output dimension | Convolution kernel dimension | Step |
|---|---|---|---|---|---|---|
conv1 | 3 | 64 | 128*128 | 43*43 | 7*7 | 3 |
conv2 | 64 | 128 | 43*43 | 22*22 | 5*5 | 2 |
conv3 | 128 | 256 | 22*22 | 8*8 | 3*3 | 3 |
conv4 | 256 | 512 | 8*8 | 4*4 | 3*3 | 2 |
maxpooling | 256 | 256 | 8*8 | 4*4 | 2*2 | 2 |
maxpooling | 256 | 256 | 8*8 | 4*4 | 2*2 | 2 |