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#gaussian-splatting

3 curated events
papersTODAY 04:00 UTC

Calibrated Uncertainty Maps for Radiative Gaussian Splatting in Sparse-View CT

Researchers examine whether uncertainty maps reliably indicate where a sparse-view CT reconstruction is erroneous, and find a discrepancy between whole-volume scoring and localization of errors within the imaged object. They derive analytic, clamp-aware moments to produce calibrated uncertainty estimates for radiative Gaussian splatting reconstructions. The work suggests standard variance-based uncertainty is not equivalent to an error map in this setting.

medical-imaging/uncertainty/gaussian-splatting/sparse-view-ct
papersSEP 10 04:00 UTC

RouteBridge paper introduces bidirectional distillation between NeRF and 3D Gaussian Splatting

A new arXiv preprint presents RouteBridge, a framework for transferring knowledge between neural radiance fields and 3D Gaussian Splatting, two 3D scene representations with complementary strengths. Rather than fixing one representation as the teacher for an entire scene, the method routes distillation bidirectionally, relying on the more reliable representation for each part of the scene.

nerf/gaussian-splatting/distillation/3d-vision
papersSEP 10 04:00 UTC

Conformal prediction method brings coverage guarantees to 3D Gaussian Splatting views

A new arXiv paper frames novel-view synthesis with 3D Gaussian Splatting as a structured regression problem and applies conformal prediction to it. The goal is to give rendered views formal statistical coverage guarantees, going beyond uncertainty heatmaps that offer no such certification. The approach is aimed at settings where rendered outputs must meet verifiable reliability standards.

gaussian-splatting/conformal-prediction/uncertainty/computer-vision