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作者:

Qiao, Zhi (Qiao, Zhi.) | Li, Tianxing (Li, Tianxing.) | Hui, Li (Hui, Li.) | Liu, Ruijun (Liu, Ruijun.)

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EI Scopus SCIE

摘要:

Hair is the most important but onerous step for depicting dynamic 3D virtual characters. The photorealistic hair animation requires high-quality simulation and rendering models. These models are based on complex calculations of mechanics and optics. Because of the huge time budget, it is difficult to apply in the interactive scene. A promising solution to overcome the time budget is the reduced model that struggles to reduce the computation of physical details by various interpolation methods. However, current reduced models compromise too much reality. This research intends to achieve photorealistic hair animation in a fast way. Building a deep learning-based framework to synthesize photorealistic hair is aimed at. Furthermore, this research also presents a pipeline for hair merging into the scene. This new framework enables the model to significantly improve the appearances of hair animation while adding little computation overhead.

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作者机构:

  • [ 1 ] [Qiao, Zhi]China Agr Univ, Coll Informat & Elect Engn, Beijing 100091, Peoples R China
  • [ 2 ] [Hui, Li]China Agr Univ, Coll Informat & Elect Engn, Beijing 100091, Peoples R China
  • [ 3 ] [Li, Tianxing]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 4 ] [Liu, Ruijun]Beijing Technol & Business Univ, Beijing Key Lab Big Data Technol Food Safety, Beijing, Peoples R China

通讯作者信息:

  • [Li, Tianxing]China Agr Univ, Coll Informat & Elect Engn, Beijing 100091, Peoples R China;;

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来源 :

IET IMAGE PROCESSING

ISSN: 1751-9659

年份: 2022

期: 2

卷: 17

页码: 375-387

2 . 3

JCR@2022

2 . 3 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:49

JCR分区:3

中科院分区:4

被引次数:

WoS核心集被引频次: 1

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

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