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Virtual try-on algorithm integrating multi-view user perspectives with multi-level sampling warping module (M-LSWM)

delete2026-08-06
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PRE
AI
X
Xueping Su *
H
Hengyuan Zhang
Y
Yunhong Li
X
Xiang Chen
DOI：10.1016/j.asoc.2026.116179delete
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Abstract

Abstract

En 中文
• A multi-view input strategy is proposed to capture spatial information from multiple angles, solving the problem of insufficient single-view spatial perception. • The M-LSWM module precisely handles local garment deformation, preserving fine textures and edges while ensuring semantic consistency. • A BoTNet-based generator with multi-head self-attention reduces computational redundancy and enhances local detail extraction.

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

X
xi'an polytechnic university
Scholars:
945
Papers: 287
Citations: 0
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