Reproduce “TRiGS: Temporal Rigid-Body Motion for Scalable 4D Gaussian Splatting” on OpenResearch

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About this paper

Suwoong Yeom, Joonsik Nam, Seunggyu Choi, Lucas Yunkyu Lee, Sangmin Kim, Jaesik Park, Joonsoo Kim, Kugjin Yun and 2 more

TRiGS introduces a 4D Gaussian Splatting framework that leverages coupled SE(3) rigid-body motion with hierarchical Bézier residuals and local anchors to reconstruct dynamic scenes. This method scales effectively to extended video sequences up to 1200 frames, maintaining a constant memory footprint of 0.5M Gaussians and 160MB while achieving high rendering quality and over 110 FPS.

Key insights

  • Parameterizing rigid-body motion directly in the Lie algebra se(3) provides a stable and coupled transformation, outperforming uncoupled rotation and translation optimizations.
  • Decomposing motion into a base term and hierarchical Bézier residuals allows capturing complex, non-linear trajectories while maintaining primitive identity over longer durations.
  • Employing learnable local anchors, coupled with gauge fixing, enables precise localized deformations and resolves optimization ambiguities in identifying translational components.

Summary by alphaXiv.

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