Rendering stable features improves sampling-based localisation with Neural radiance fields

21 September 2023

Papers citing "Rendering stable features improves sampling-based localisation with Neural radiance fields"

8 / 8 papers shown

Title
Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields Dominic Maggio Marcus Abate Jingang Shi C. Mario Luca Carlone 82 85 0 19 Sep 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields Danny Driess Zhiao Huang Yunzhu Li Russ Tedrake Marc Toussaint OCL AI4CE 146 87 0 24 Feb 2022
Block-NeRF: Scalable Large Scene Neural View Synthesis Matthew Tancik Vincent Casser Xinchen Yan Sabeek Pradhan B. Mildenhall Pratul P. Srinivasan Jonathan T. Barron Henrik Kretzschmar AI4CE 92 820 0 10 Feb 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller Alex Evans Christoph Schied A. Keller 312 4,012 0 16 Jan 2022
Neural Fields in Visual Computing and Beyond Yiheng Xie Towaki Takikawa Shunsuke Saito Or Litany Shiqin Yan Numair Khan Federico Tombari James Tompkin Vincent Sitzmann Srinath Sridhar 3DH 166 627 0 22 Nov 2021
iMAP: Implicit Mapping and Positioning in Real-Time Edgar Sucar Shikun Liu Joseph Ortiz Andrew J. Davison 3DH 111 618 0 23 Mar 2021
INeRF: Inverting Neural Radiance Fields for Pose Estimation Yen-Chen Lin Peter R. Florence Jonathan T. Barron Alberto Rodriguez Phillip Isola Nayeon Lee 114 454 0 10 Dec 2020
ORB-SLAM: a Versatile and Accurate Monocular SLAM System Raul Mur-Artal José M.M. Montiel Juan D. Tardós 111 6,390 0 03 Feb 2015