Description

Extract feature vectors from TF Variational Autoencoder For more info check ipynb

Embedding in latent space

Morphing faces

Feature extraction

• Features in CelebA Dataset

1   5_o_Clock_Shadow     
2   Arched_Eyebrows      
3   Attractive           
4   Bags_Under_Eyes      
5   Bald                 
6   Bangs                
7   Big_Lips             
8   Big_Nose             
9   Black_Hair           
10  Blond_Hair           
11  Blurry               
12  Brown_Hair           
13  Bushy_Eyebrows       
14  Chubby               
15  Double_Chin          
16  Eyeglasses           
17  Goatee               
18  Gray_Hair            
19  Heavy_Makeup         
20  High_Cheekbones      
21  Male                 
22  Mouth_Slightly_Open  
23  Mustache             
24  Narrow_Eyes          
25  No_Beard             
26  Oval_Face            
27  Pale_Skin            
28  Pointy_Nose          
29  Receding_Hairline    
30  Rosy_Cheeks          
31  Sideburns            
32  Smiling              
33  Straight_Hair        
34  Wavy_Hair            
35  Wearing_Earrings     
36  Wearing_Hat          
37  Wearing_Lipstick     
38  Wearing_Necklace     
39  Wearing_Necktie      
40  Young                

Add feature (e.g. baldness) to image

TODO

* Unbias feature vector extraction

References:

1. https://www.kaggle.com/datasets/jessicali9530/celeba-dataset