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ETBHD-HMF: A Hierarchical Multimodal Fusion Architecture for Enhanced Text-Based Hair Design

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成果类型:
期刊论文
作者:
He, Rong;Jiao, Ge;Li, Chen
通讯作者:
He, R
作者机构:
[Li, Chen; Jiao, Ge; He, Rong] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang, Peoples R China.
[Jiao, Ge] Hunan Prov Key Lab Intelligent Informat Proc & App, Hengyang, Peoples R China.
通讯机构:
[He, R ] H
Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang, Peoples R China.
语种:
英文
关键词:
Image processing;Hair editing;Multimodal interaction;Editing capabilities
期刊:
Computer Graphics Forum
ISSN:
0167-7055
年:
2024
基金类别:
Hunan Provincial Natural Science Foundation of China [2021JJ50074, 2022JJ50016, 2023JJ50096]; Science and Technology Plan Project of Hunan Province [2016TP1020]; The 14th Five-Year Plan Key Disciplines and Application-oriented Special Disciplines of Hunan Province (Xiangjiaotong) [[2022] 351]; Innovation Platform open Fund of Hengyang Normal University [2021HSKFJJ039]
机构署名:
本校为第一且通讯机构
院系归属:
计算机科学与技术学院
摘要:
We propose ETBHD‐HMF, a novel hierarchical multimodal fusion network that comprehensively learns to align and fuse text instructions into complex image latent code space, achieving high‐quality and accurate hair design. Here, we offer an illustrative example of joint hair colour and hairstyle text as conditional inputs. Abstract Text‐based hair design (TBHD) represents an innovative approach that utilizes text instructions for crafting hairstyle and colour, renowned for its flexibility and scalability. However, enhancing TBHD algorithms to i...

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