Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit Fields

3 January 2025

Papers citing "Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit Fields"

7 / 7 papers shown

Title
Neural LiDAR Fields for Novel View Synthesis S. Huang Zan Gojcic Zian Wang Francis Williams Yoni Kasten Sanja Fidler Konrad Schindler Or Litany 68 45 0 02 May 2023
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields Junge Zhang Feihu Zhang Shaochen Kuang Li Zhang 3DPC 59 37 0 28 Apr 2023
Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM Hengyi Wang Jingwen Wang Lourdes Agapito 69 177 0 27 Apr 2023
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization Jiawei Yang Marco Pavone Yue Wang 113 260 0 13 Mar 2023
Just Flip: Flipped Observation Generation and Optimization for Neural Radiance Fields to Cover Unobserved View Minjae Lee Kyeongsu Kang Hyeonwoo Yu 38 3 0 11 Mar 2023
Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation Xingrui Yang Hai Li Hongjia Zhai Yuhang Ming Yuqian Liu Guofeng Zhang 159 168 0 28 Oct 2022
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields Niko Sünderhauf Jad Abou-Chakra Dimity Miller UQCV 62 53 0 19 Sep 2022