App. Res. of Comp. Accepted Paper
Vol. 44, 2027 No. 2

Two-stage side-view face reenactment with depth maps and facial landmarks

Zhang Xudong
Li Guoyu
Zhu Guosong
Ma Zeping
Qin Zhen
Network and Data Security Key Laboratory of Sichuan Province, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
DOI: 10.19734/j.issn.1001-3695.2026.05.0162

Abstract

To reduce expression distortion, identity mismatch, and background artifacts in side-view face reenactment, this study investigated a two-stage method combining depth maps and facial landmarks. It first constructed a depth-map-based facial landmark processing network (DMLPNet) , which exploited depth-aware structural priors to enhance facial contours and foreground-background boundaries and used landmark detection and feature transformation to align identity and motion. It then constructed a side-view two-stage optimization network (SATONet) , which performed head alignment followed by expression refinement. Experiments on three public datasets showed that DMLPNet reduced PRMSE from 2.751 to 2.696 and increased AUCON from 0.882 to 0.887 in cross-identity reenactment; SATONet achieved an SSIM of 0.719, an FID of 4.64, and a CSIM of 0.894 in side-view scenarios. The results demonstrate that depth-aware structural modeling and stage-wise optimization improve expression consistency, identity preservation, and visual quality in side-view face reenactment.

Foundation Support

国家自然科学基金资助项目(62372083)
四川省科技支撑计划项目(2024NSFTD0005,2023YFS0020,2023YFS0197,2023YFG0148)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.05.0162
Publish at: Application Research of Computers Accepted Paper, Vol. 44, 2027 No. 2

Publish History

[2026-10-21] Accepted Paper

Cite This Article

张旭东, 李郭宇, 朱国淞, 等. 融合深度图与面部关键点的两阶段侧面角度面部重演方法 [J]. 计算机应用研究, 2027, 44 (2). (2026-10-24). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0162. (Zhang Xudong, Li Guoyu, Zhu Guosong, et al. Two-stage side-view face reenactment with depth maps and facial landmarks [J]. Application Research of Computers, 2027, 44 (2). (2026-10-24). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0162. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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