Reconstructing Objects in-the-wild for Realistic Sensor Simulation

9 November 2023

Papers citing "Reconstructing Objects in-the-wild for Realistic Sensor Simulation"

6 / 6 papers shown

Title
NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds Mahan Rafidashti Ji Lan M. Fatemi Junsheng Fu Lars Hammarstrand Lennart Svensson 39 0 0 01 Apr 2025
L-PR: Exploiting LiDAR Fiducial Marker for Unordered Low Overlap Multiview Point Cloud Registration Yibo Liu Jinjun Shan Amaldev Haridevan Shuo Zhang 63 2 0 05 Jun 2024
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations Tristan Aumentado-Armstrong Ashkan Mirzaei Marcus A. Brubaker J. Kelly Alex Levinshtein Konstantinos G. Derpanis Igor Gilitschenski 22 4 0 27 Oct 2023
UniSim: A Neural Closed-Loop Sensor Simulator Ze Yang Yun Chen Jingkang Wang S. Manivasagam Wei-Chiu Ma A. Yang R. Urtasun 30 187 0 03 Aug 2023
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild Jason Y. Zhang Gengshan Yang Shubham Tulsiani Deva Ramanan 126 151 0 14 Oct 2021
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling Ze Yang Shenlong Wang S. Manivasagam Zeng Huang Wei-Chiu Ma Xinchen Yan Ersin Yumer R. Urtasun 3DH 61 73 0 17 Jan 2021