A Hierarchical Multi-Resolution Self-Supervised Framework for High-Fidelity 3D Face Reconstruction Using Learnable Gabor-Aware Texture Modeling

Pichet Mareo, Rerkchai Fooprateepsiri

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DOI: 10.3390/jimaging12010026
Published: 2026-01-05
Container: Journal of Imaging
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/jimaging12010026,
  title = {A Hierarchical Multi-Resolution Self-Supervised Framework for High-Fidelity 3D Face Reconstruction Using Learnable Gabor-Aware Texture Modeling},
  author = {Pichet Mareo and Rerkchai Fooprateepsiri},
  year = {2026},
  journal = {Journal of Imaging},
  doi = {10.3390/jimaging12010026},
  url = {https://doi.org/10.3390/jimaging12010026}
}

RIS

TY  - JOUR
TI  - A Hierarchical Multi-Resolution Self-Supervised Framework for High-Fidelity 3D Face Reconstruction Using Learnable Gabor-Aware Texture Modeling
AU  - Pichet Mareo
AU  - Rerkchai Fooprateepsiri
PY  - 2026
JO  - Journal of Imaging
DO  - 10.3390/jimaging12010026
UR  - https://doi.org/10.3390/jimaging12010026
ER  -

APA

Mareo, P., & Fooprateepsiri, R. (2026). A Hierarchical Multi-Resolution Self-Supervised Framework for High-Fidelity 3D Face Reconstruction Using Learnable Gabor-Aware Texture Modeling. Journal of Imaging. https://doi.org/10.3390/jimaging12010026

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crossref · retrieved 2026-11-10T04:49:46.534Z