Patent ID: 11900563
Assignee: BOE TECHNOLOGY GROUP CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. The computer-implemented method of claim 11, wherein the generator loss function is defined as:, min
    ⁢
    
     V
     ⁡
     (
     
      D
      ,
      G
     
     )
    
   
   =
   
    
     
      ∑
      
       i
       =
       0
      
      3
     
     
      
       α
       i
      
      ⁢
      
       
        E
        
         x
         ~
         
          
           P
           z
          
          (
          z
          )
         
        
       
       [
       
        log
        ⁡
        (
        
         1
         -
         
          
           D
           i
          
          (
          
           
            G
            i
           
           (
           z
           )
          
          )
         
        
        )
       
       ]
      
     
    
    +
    
     
      β
      i
     
     ⁢
     
      L
      i
      p
     
    
   
  
  ;
  and
 

the discriminator loss function is defined as:, max
    ⁢
    
     V
     ⁡
     (
     
      D
      ,
      G
     
     )
    
   
   =
   
    
     
      ∑
      
       i
       =
       0
      
      3
     
     
      
       α
       i
      
      ⁢
      
       
        E
        
         x
         ~
         
          
           P
           data
          
          (
          x
          )
         
        
       
       [
       
        log
        ⁡
        (
        
         
          D
          i
         
         (
         x
         )
        
        )
       
       ]
      
     
    
    +
    
     
      E
      
       x
       ~
       
        
         P
         z
        
        (
        z
        )
       
      
     
     [
     
      log
      ⁡
      (
      
       1
       -
       
        
         D
         i
        
        (
        
         
          G
          i
         
         (
         z
         )
        
        )
       
      
      )
     
     ]
    
   
  
  ;
 

wherein D stands for the discriminator; G stands for the generator; i stands for a respective number of a plurality of scales; αi and βi stand for weight coefficients corresponding to the respective number of a plurality of scales; E stands for a probability density distribution; Lip is a perceptual loss function; Pdata(x) stands for a probability distribution of the reference image; x stands for a sample from Pdata(x); Pz(z) stands for a probability distribution of the high-resolution image; and z stands for a sample from Pz(z).