A Survey on 3D Virtual Human Reconstruction and Animation Based on Neural Radiance Fields and Gaussian Splatting

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This research aims to explore the recent advancements in 3D virtual human reconstruction and animation using Neural Radiance Fields and Gaussian Splatting methods.
Systematic review of techniques for 3D virtual human reconstruction and animation.
Focus on data-driven methods and dynamic modeling through NeRF and 3DGS.
Analysis of challenges in cross-modal temporal biases and dynamic modeling efficiency.
NeRF improves geometric consistency in single-view reconstructions of complex poses.
3DGS enhances efficiency in non-rigid deformation modeling with real-time rendering capabilities.
Identified challenges in temporal alignment across modalities and trade-offs between modeling efficiency and fidelity.

Survey reveals advancements in 3D virtual human techniques, indicating challenges in dynamic modeling and fidelity.

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Wang et al. (2026) studied this question.

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