An Efficient Transformer Based on Global and Local Self-Attention for Face Photo-Sketch Synthesis-Reference-Cited by-同舟云学术

An Efficient Transformer Based on Global and Local Self-Attention for Face Photo-Sketch Synthesis

Author:

Yu Wangbo¹^ORCID,Zhu Mingrui¹^ORCID,Wang Nannan¹^ORCID,Wang Xiaoyu²^ORCID,Gao Xinbo³^ORCID

Affiliation:

1. State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China

2. School of Computer Science and Technology, University of Science and Technology of China, Hefei, China

3. Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Basic Research Plan in Shaanxi Province of China

Technology Innovation Leading Program of Shaanxi

Open Research Projects of Zhejiang Laboratory

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference57 articles.

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. Exploring What to Share for Multimodal Image Synthesis;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30