What question did this study set out to answer?

This research aims to improve 3D avatar reconstruction using monocular video input by addressing challenges in accuracy and realism.

March 26, 2026Complex & Intelligent SystemsOpen Access

End-to-end high-fidelity avatar reconstruction using 3D Gaussian splatting with monocular video as the sole input

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Authors

TFTeng Fei QXQin XinUniversity of the Faroe Islands JDJ. G. DengGuangxi University

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Implication

End-to-end approach shows improved avatar reconstruction quality in augmented and virtual reality, suggesting a simpler method for realistic representation.

Key Points

This research aims to improve 3D avatar reconstruction using monocular video input by addressing challenges in accuracy and realism.
Introduced a tile-based rasterization method within the 3D Gaussian Splatting framework.
Utilized Gaussian ellipsoids initialized through Patch Match Stereo techniques.
Employed active and passive optimization for refining Gaussian parameters and density filtering.
Achieved high-fidelity avatar reconstructions without visual artifacts.
Outperformed traditional avatar reconstruction techniques and existing radiation field methods.
Demonstrated enhanced flexibility and a lightweight pipeline for avatar generation.

Cite This Study

Fei et al. (2026) studied this question.

synapsesocial.com/papers/69c4cd05fdc3bde448918d12 https://doi.org/10.1007/s40747-026-02231-5

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Implication

End-to-end approach shows improved avatar reconstruction quality in augmented and virtual reality, suggesting a simpler method for realistic representation.

End-to-end high-fidelity avatar reconstruction using 3D Gaussian splatting with monocular video as the sole input

Discussion

Member takes

Implication

Key Points

Cite This Study

End-to-end high-fidelity avatar reconstruction using 3D Gaussian splatting with monocular video as the sole input

Discussion

Member takes

Implication

Key Points

Cite This Study

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