SCRN: Stepwise Change and Refine Network Based Semantic Distribution for Human Pose Transfer

It is a challenging and meaningful task to achieve person image synthesis by guiding pose. However, two problems have existed in past work: inaccurate generated poses and inconsistency with the target texture. To address these issues, we propose the Stepwise Change and Refine Network (SCRN), a two-s...

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Bibliografski detalji

Glavni autori:	Han Mo, Yang Xu, Youju Peng, Guidong Xu
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2023-01-01
Serija:	IEEE Access
Teme:	Deep learning generative adversarial network human pose transfer skeleton based approach person image synthesis
Online pristup:	https://ieeexplore.ieee.org/document/10163814/
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