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Image-based Virtual Try-on via Channel Attention and Appearance Flow

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成果类型:
会议论文
作者:
He, Chao;Liu, Rong;E, Jinxuan;Liu, Ming
通讯作者:
Liu, M
作者机构:
[Liu, Ming; E, Jinxuan; Liu, M; He, Chao] Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.
[Liu, Rong] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan, Peoples R China.
通讯机构:
[Liu, M ] C
Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.
语种:
英文
关键词:
appearance flow;virtual try-on;channel attention
期刊:
2024 5TH INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKS AND INTERNET OF THINGS, CNIOT 2024
年:
2024
页码:
198-203
会议名称:
5th International Conference on Computing, Networks and Internet of Things (CNIOT)
会议时间:
MAY 24-26, 2024
会议地点:
Tokyo, JAPAN
会议主办单位:
[He, Chao;E, Jinxuan;Liu, Ming] Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.^[Liu, Rong] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan, Peoples R China.
出版地:
1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES
出版者:
ASSOC COMPUTING MACHINERY
ISBN:
979-8-4007-1675-1
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
计算机学院
摘要:
Virtual try-on is an image generation task for changing characters' clothes while preserving the characters' and the cloth's original attributes. Existing methods usually apply the traditional appearance flow method, which is susceptible to complex body postures or occlusions, leading to unclear texture of target clothing or distorted limbs of characters. We apply a StyleGAN-based(generative adversarial network) flow generator to estimate appearance flow, which provides more global information to overcome the issue. Additionally, more local information is captured to refine the appearance flow...

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