Teacher-Tutor-Student Knowledge Distillation

2000년 도입 · 논문 4편에서 사용

Teacher-Tutor-Student Knowledge Distillation is a method for image virtual try-on models. It treats fake images produced by the parser-based method as "tutor knowledge", where the artifacts can be corrected by real "teacher knowledge", which is extracted from the real person images in a self-supervised way. Other than using real images as supervisions, knowledge distillation is formulated in the try-on problem as distilling the appearance flows between the person image and the garment image, enabling the finding of dense correspondences between them to produce high-quality results.

출처: Parser-Free Virtual Try-on via Distilling Appearance Flows

소개 논문: Parser-Free Virtual Try-on via Distilling Appearance Flows