CVPR 2026: Uncertainty Estimation in 3DGS Paper Acceptance
Our paper “PRIMU: Uncertainty Estimation for Novel Views in Gaussian Splatting” has been accepted at CVPR 2026. The method estimates how reliable novel 3DGS renderings are, enabling safer use of neural 3D reconstruction for applications such as robotics, view planning, and change/anomaly detection.