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June 8, 2026IEEE Computer Graphics and Applications

Dynamic Gaussian-Based Digital Twin Reconstruction of Articulated Multi-Joint Objects

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Authors

YCYulin ChenGJGuo JYLYumeng Liu

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Overview

Randomized trial explores dynamic digital twin reconstruction in articulated objects, suggesting enhanced fidelity and accuracy.

Key Points

  • This research aims to improve digital twin reconstruction of articulated objects by incorporating structural dynamics and geometric modeling.
  • Developed a structure-aware reconstruction framework utilizing articulated Gaussian primitives.
  • Implemented differentiable rendering for reconstruction from multi-view observations.
  • Conducted extensive experiments on articulated robotic systems to evaluate visual fidelity and geometric accuracy.
  • Demonstrated improved visual fidelity and geometric accuracy in dynamic reconstructions.
  • Achieved greater cross-view consistency in novel viewpoints and unseen joint configurations.
  • Facilitated scalable simulation and improved sim-to-real policy transfer, enhancing application quality.

Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/6a265becad53cfb9357c5451https://doi.org/10.1109/mcg.2026.3701284
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