Overview / Usage

Sketch/Line Art colorization is a time consuming process, The automation of the process requires not just simple boundary detection but also semantical feature identification, user interaction and shading(which is not a problem for grey image colorization). We propose an deep end-to-end trainable colorization model that meanwhile small in size and has a almost-real-time performance. It identifies semantic features from the sketch and inpaint it with/without user interaction with realistic shading.