Diff-Reg v1: Diffusion Matching Model for Registration Problem

no code implementations • 29 Mar 2024 • Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Yang

Establishing reliable correspondences is essential for registration tasks such as 3D and 2D3D registration.

Denoising

Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud Registration

no code implementations • 31 Dec 2023 • Qianliang Wu, Haobo Jiang, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang

They typically compute candidate correspondences based on distances in the point feature space.

Denoising Point Cloud Registration

SGNet: Salient Geometric Network for Point Cloud Registration

no code implementations • 12 Sep 2023 • Qianliang Wu, Yaqing Ding, Lei Luo, Shuo Gu, Chuanwei Zhou, Jin Xie, Jian Yang

These high-order features are then propagated to dense points and utilized by a Sinkhorn matching module to identify key correspondences for successful registration.

Point Cloud Registration

Graph Matching Optimization Network for Point Cloud Registration

no code implementations • 12 Feb 2023 • Qianliang Wu, Yaqi Shen, Haobo Jiang, Guofeng Mei, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang

Point Cloud Registration is a fundamental and challenging problem in 3D computer vision.

Graph Matching Point Cloud Registration

Interest-Behaviour Multiplicative Network for Resource-limited Recommendation

no code implementations • 24 Sep 2020 • Qianliang Wu, Tong Zhang, Zhen Cui, Jian Yang

In this paper, we aim to mine the cue of user preferences in resource-limited recommendation tasks, for which purpose we specifically build a large used car transaction dataset possessing resource-limitation characteristics.