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Mani-GS: Gaussian Splatting Manipulation with Triangular Mesh

CVPR 2025 · 3D vision › Gaussian splatting · approach: Regularization and primitive design for 3DGS · 11 citations (OpenAlex)

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Mani-GS binds 3D Gaussians to triangles in a local triangle space so that mesh manipulation transfers to 3DGS with self-adaptive rendering, tolerating inaccurate meshes.

Problem

Manipulating 3D Gaussian Splatting scenes freely (large deformation, local edits, soft-body simulation) while preserving photorealistic rendering quality, especially when the proxy mesh is inaccurate.

Approach

Bind Gaussians to each triangle in a per-triangle local coordinate frame and adapt their global position, rotation, and scale from the triangle's transform and edge lengths, so Gaussians can move off the triangle and keep relative geometry after mesh edits.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Mani-GS with a NeuS mesh instead of SuGaR3DGS rendering · NeRF Synthetic (8 subjects)PSNRHelped
Use Mani-GS instead of SuGaR3DGS rendering · DTUPSNR: 30.06 -> 31.50Helped
Use Mani-GS instead of SuGaR3DGS rendering · DTULPIPS: 0.136 -> 0.088Helped
Add triangle shape-aware Gaussian binding and adaptation instead of binding Gaussians directly on mesh (ablation)Mani-GS · NeRF SyntheticPSNR: 30.87 -> 33.45Helped
Add a 3D position offset to mesh-bound Gaussians (ablation)Mani-GS · NeRF SyntheticPSNR: 30.87 -> 32.48Helped

Surprising findings

Limitations

Experimental setup

Datasets: NeRF Synthetic DTU

Benchmarks: NeRF Synthetic DTU

Metrics: PSNR SSIM LPIPS

Baselines: NeRF-Editing SuGaR NeuMesh 3DGS on Mesh Mesh + Offset

Builds on: 3D Gaussian Splatting SuGaR NeuS NeRF-Editing

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