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  1. No Access

    Chapter and Conference Paper

    A Bi-directional Optimization Network for De-obscured 3D High-Fidelity Face Reconstruction

    3D detailed face reconstruction based on monocular images aims to reconstruct a 3D face from a single image with rich face detail. The existing methods have achieved significant results, but still suffer from ...

    **tie Zhang, Su** Wu, Zhixiang Yuan, **nyu Li, Kehua Ma… in Neural Information Processing (2024)

  2. No Access

    Chapter and Conference Paper

    A Detail Geometry Learning Network for High-Fidelity Face Reconstruction

    In this paper, we propose a Detail Geometry Learning Network (DGLN) approach to investigate the problem of self-supervised high-fidelity face reconstruction from monocular images. Unlike existing methods that ...

    Kehua Ma, **tie Zhang, Su** Wu… in Artificial Neural Networks and Machine Lea… (2023)

  3. No Access

    Chapter and Conference Paper

    Unsupervised Shape Enhancement and Factorization Machine Network for 3D Face Reconstruction

    Existing unsupervised methods are often unable to capture accurate 3D shapes due to the ambiguity of shapes and albedo maps, limiting their applicability to downstream tasks. Therefore, this article proposes a...

    Leyang Yang, Boyang Zhang, Jianchang Gong… in Artificial Neural Networks and Machine Lea… (2023)

  4. Article

    Open Access

    Estuarine plastisphere as an overlooked source of N2O production

    “Plastisphere”, microbial communities colonizing plastic debris, has sparked global concern for marine ecosystems. Microbiome inhabiting this novel human-made niche has been increasingly characterized; however...

    **aoxuan Su, Leyang Yang, Kai Yang, Yijia Tang, Teng Wen… in Nature Communications (2022)

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