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Harbin Institute of Technology
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Unreliable Gaussians are the root cause of artifacts in sparse-view 3D Gaussian Splatting, and modeling their reliability in both the optimization and observation domains dramatically improves reconstruction quality.
Reconstructing 3D scenes from images obscured by smoke and extreme darkness is now significantly more achievable, thanks to insights gleaned from the NTIRE 2026 challenge.
