Hybrid Transformers with Attention-guided Spatial Embeddings for Makeup Transfer and Removal-Reference-Cited by-同舟云学术

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Hybrid Transformers with Attention-guided Spatial Embeddings for Makeup Transfer and Removal

Published:2023 Issue: Volume: Page:1-1
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Li Mingxiu¹,Yu Wei¹,Liu Qinglin¹^ORCID,Li Zonglin¹^ORCID,Li Ru¹^ORCID,Zhong Bineng²^ORCID,Zhang Shengping¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Harbin Institute of Technology, Weihai, Shandong, China

2. Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/4358651/10247199.pdf?arnumber=10247199

Cited by 2 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

1. A multi-granularity facial extreme makeup transfer and removal model with local-global collaboration;Applied Intelligence;2024-07-22

2. Skin Tone Disentanglement in 2D Makeup Transfer With Graph Neural Networks;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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