HiSD
Hierarchical Style Disentanglement
2000년 도입 · 논문 2편에서 사용
Hierarchical Style Disentanglement, or HiSD, aims to disentangle different styles in image-to-image translation models. It organizes the labels into a hierarchical structure, where independent tags, exclusive attributes, and disentangled styles are allocated from top to bottom. To make the styles identified to the tags and attributes, the authors carefully redesign the modules, phases, and objectives.
출처: Image-to-image Translation via Hierarchical Style Disentanglement
소개 논문: Image-to-image Translation via Hierarchical Style Disentanglement
Generative Models · Computer Vision