D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

6 March 2020

Papers citing "D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features"

6 / 6 papers shown

Title
LPRnet: A self-supervised registration network for LiDAR and photogrammetric point clouds Chen Wang Yanfeng Gu Xian Li 3DPC 43 0 0 10 Jan 2025
ML-SemReg: Boosting Point Cloud Registration with Multi-level Semantic Consistency Shaocheng Yan Pengcheng Shi Jiayuan Li 3DPC 25 1 0 13 Jul 2024
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations Rui She Sijie Wang Qiyu Kang Kai Zhao Yang Song Wee Peng Tay Tianyu Geng Xingchao Jian DiffM 3DPC 19 2 0 06 Jan 2024
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features Thomas Wimmer Peter Wonka M. Ovsjanikov 6 8 0 29 Nov 2023
Q-REG: End-to-End Trainable Point Cloud Registration with Surface Curvature Yucheng Shi Dániel Baráth Marc Pollefeys Iro Armeni 3DPC 26 3 0 27 Sep 2023
Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds Zhiyuan Zhang Yuchao Dai Bin Fan Jiadai Sun Mingyi He 3DPC 30 6 0 26 Oct 2022