Patent ID: 11880957
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. The method of claim 16, wherein the pre-trained generative model comprises a DCGAN, and the operations further comprising:
generating an adapted generative model by applying an adversarial loss to weighted parameters associated with the target style to the pre-trained generative model using the DCGAN, wherein applying the adversarial loss to the weighted parameters comprises:
computing the adversarial loss using an expression:, L
    adv
   
   =
   
    
     
      min
      G
     
         
     
      max
      D
     
         
     
      
       ε
       
        x
        ∼
        
         
          P
          data
         
         (
         x
         )
        
       
      
      [
      
       log
       ⁢
          
       
        D
        ⁡
        (
        x
        )
       
      
      ]
     
    
    +
    
     
      ε
      
       z
       ∼
       
        
         P
         z
        
        (
        z
        )
       
      
     
     [
     
      log
      ⁡
      (
      
       1
       -
       
        D
        ⁡
        (
        
         G
         ⁡
         (
         z
         )
        
        )
       
      
      )
     
     ]
    
   
  
  ,
 

 and
wherein G represents a generator, D represents a discriminator, Pdata(x) represents a distribution of noise associated with a subset of source images, and Pz(z) represents a distribution of noise associated with the weighted parameters.