Skip to content

cGAN-based Manga Colorization Using a Single Training Image.

License

Notifications You must be signed in to change notification settings

sudheerachary/Manga_Colorization

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

28 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

HitCount

Manga Colorization

  • models/ consists the cGAN models & visualizations.

    • run train.py to train on images stored in datasets/train.
    • run test.py to generate colorization for images in datasets/test.
    • datasets/generated_Images contains generated images and trained model weights.
    • datasets/test contains testing images.
    • datasets/train contains/put dataset for training.
    • datasets/validation contains validation set of images for training.
  • Segmentation and post-processing

    • segmentation/input_images contains test images
    • segmentation/bw_images contains the black and white images after screentone removal
    • Results contains results for postprocessing and final outputs
    • run segmentation.m in MATLAB to segment the input image (Monochrome Original)
  • cGAN + =

a. b. c.

  • a - input: monochrome original
  • b - output: cGAN output
  • c - output: Post Processed output