UQ for 3D Reconstruction

UQ: Uncertainty Quantification

Latest papers

CardsList

18 papers4 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. Modeling Uncertainty Propagation in 3D Morphable Models

    Oct 17, 2026Megh Shukla, Edo Collins, Prashanth Chandran +4UQ for 3D ReconstructionUncertainty Propagation

  2. PUGS: Physics-Guided Uncertainty Modeling for Underwater Dynamic 3D Gaussian Splatting

    Oct 13, 2026Tingjun Li, Yuxi Wang, Guoqiang Zhong +1UQ for 3D Reconstruction3D Reconstruction

  3. Revar3r: gauge-aware perturbation uncertainty for feed-forward 3d reconstruction

    Oct 6, 2026Sammam Mahdi, Fariha Binta Salim, Rakin Bin Rabbani +1Uncertainty Quantification3D Reconstruction

  4. Matisse: Evidence-Space Reasoning for Active 3D Reconstruction

    Sep 30, 2026Xihang Yu, Kaichen Zhou, Lorenzo Shaikewitz +4Next-Best-View Planning3D Reconstruction

  5. GeoCond: A Conditioning-Aware Reliability Adapter for Feed-Forward 3D Reconstruction

    Sep 16, 2026David Ahmedt-Aristizabal, Mohammad Ali Armin, Russell Tsuchida +1UQ for 3D Reconstruction3D Reconstruction

  6. A Calibration Audit of Confidence in Feed-Forward 3D Reconstruction Models

    Aug 30, 2026Nanxing Nick Deng, Qing Cheng, Niclas Zeller +1Post-Hoc CalibrationProbability Calibration

  7. Rendering-Aware Bayesian 3D Gaussian Splatting with Native Uncertainty and Adaptive Complexity Control

    Jul 6, 2026Gaoxiang Jia, Vikram Appia, Junzhou Huang +1Active View SelectionActive Perception

  8. Targeted Structure Completion for Sparse-View 3D Reconstruction in Autonomous Driving

    Jul 6, 2026Guoqing Wang, Pin Tang, Xiangxuan Ren +23D Gaussian Splatting3D Reconstruction

  9. Uncertainty Quality of VGGT: An Analysis on the DTU Benchmark Dataset

    Jun 15, 2026Markus Hillemann, Robert Langendörfer, Steven Landgraf +13D ViTs3D Reconstruction

  10. Trust It or Not: Evidential Uncertainty for Feed-Forward 3D Reconstruction with Trust3R

    May 19, 2026Zihao Zhu, Wenyuan Zhao, Nuo Chen +2Evidential Deep Learning3D Reconstruction

  11. Predicting 3D structure by latent posterior sampling

    May 11, 2026Azmi Haider, Dan RosenbaumNeural Radiance FieldsMulti-View 3D Reconstruction

  12. Robust 4D Visual Geometry Transformer with Uncertainty-Aware Priors

    Apr 10, 2026Ying Zang, Yidong Han, Chaotao Ding +8UQ for 3D ReconstructionDynamic Scene Reconstruction

  13. FluidGaussian: Propagating Simulation-Based Uncertainty Toward Functionally-Intelligent 3D Reconstruction

    Mar 22, 2026Yuqiu Liu, Jialin Song, Marissa Ramirez de Chanlatte +5Fluid-Structure Interaction3D Reconstruction

  14. Leveraging Geometric Prior Uncertainty and Complementary Constraints for High-Fidelity Neural Indoor Surface Reconstruction

    Feb 27, 2026Qiyu Feng, Jiwei Shan, Shing Shin Cheng +1UQ for 3D Reconstruction3D Reconstruction

  15. BayesFusion-SDF: Probabilistic Signed Distance Fusion with View Planning on CPU

    Feb 23, 2026Soumya Mazumdar, Vineet Kumar Rakesh, Tapas SamantaUQ for 3D Reconstruction3D Reconstruction

  16. SA-ResGS: Self-Augmented Residual 3D Gaussian Splatting for Next Best View Selection

    Jan 6, 2026Kim Jun-Seong, Tae-Hyun Oh, Eduardo Pérez-Pellitero +13D Gaussian SplattingNext-Best-View Planning