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zju3dv / PGSR

code for "PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction"
https://zju3dv.github.io/pgsr/
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train speed #9

Closed chenqi13814529300 closed 1 month ago

chenqi13814529300 commented 1 month ago

I feel your work is great, I will test it next. May I ask if the training speed can be improved? Can we refer to the optimization method of 2D Gaussian for rasterization?

ywcmaike commented 1 month ago

Theoretically, it should be possible to replace the planar representation of PGSR with 2DGS, but we have not tried it. We have applied PGSR to different settings and will release a large reconstruction framework next month. You are encouraged to update the results for this issue. The key to PGSR's superiority over existing GS-based surface reconstruction lies in unbiased depth estimation, single-view constraints, multi-view constraints, and camera compensation. If you add the key technologies of PGSR to 2DGS, you may get a significant performance improvement.