ID-V2V Framework for Identity-Preserving Video Restyling
ID-V2V has been introduced—a system for changing scenes and lighting in videos while preserving the character's facial features and micro-expressions. It solves the problem of the lack of paired data for training video models by using a relighting inversion technique to create training sets from existing videos.
