  There is a delicate balance between automating repetitive work in creative
domains while staying true to an artist's vision. The animation industry
regularly outsources large animation workloads to foreign countries where labor
is inexpensive and long hours are common. Automating part of this process can
be incredibly useful for reducing costs and creating manageable workloads for
major animation studios and outsourced artists. We present a method for
automating line art colorization by keeping artists in the loop to successfully
reduce this workload while staying true to an artist's vision. By incorporating
color hints and temporal information to an adversarial image-to-image
framework, we show that it is possible to meet the balance between automation
and authenticity through artist's input to generate colored frames with
temporal consistency.

Computer Vision and Pattern Recognition