Research Article
[Retracted] Study on 3D Clothing Color Application Based on Deep Learning-Enabled Macro-Micro Adversarial Network and Human Body Modeling
| Parameters | Interpretation |
| | Image length | | Image width | | Number of background classes | | Dual output generator | | Pixel classification loss | | Probability | | Antagonistic loss | | Equilibrium parameters | | Discriminator | | Macro-micro adversarial network output | | Cross-entropy loss of low resolution and small size images | | Cross-entropy loss of high resolution and original images | | Dual output generator output | | Macrodiscriminator output | | Microdiscriminator output | | Mapped abscissa and ordinate | | Image rotation angle | | Original image width | | Original image height | | Image width obtained by rotation | | Image height obtained by rotation | | Coordinates around the midpoint | | HSV three factor mean | | Difference between pixel and mean |
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