HairManip: High quality hair manipulation via hair element disentangling-Reference-Cited by-同舟云学术

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HairManip: High quality hair manipulation via hair element disentangling

Published:2024-03 Issue: Volume:147 Page:110132
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhao Huihuang,Zhang Lin^ORCID,Rosin Paul L.^ORCID,Lai Yu-Kun^ORCID,Wang Yaonan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference39 articles.

1. GAN with multivariate disentangling for controllable hair editing;Guo,2022

2. MichiGAN: Multi-input-conditioned hair image generation for portrait editing;Zhentao;ACM Trans. Graph.,2020

3. Barbershop: GAN-based image compositing using segmentation masks;Zhu;ACM Trans. Graph.,2021

4. A survey of image-based techniques for hair modeling;Bao;IEEE Access,2018

5. Vision GNN: An image is worth graph of nodes;Han;Adv. Neural Inf. Process. Syst.,2022

Cited by 1 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. Analyzing the latent space of GAN through local dimension estimation for disentanglement evaluation;Pattern Recognition;2025-01

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