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20212026
most citedSE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation

10 citations · 35 across the 24 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

Geometry-to-Image Synthesis-Driven Generative Point Cloud Registration

Haobo Jiang, Jin Xie, Jian Yang +2

In this paper, we propose a novel 3D registration paradigm, Generative Point Cloud Registration, which bridges advanced 2D generative models with 3D matching tasks to enhance regis…

cs.CV2025

FUSER: Feed-Forward MUltiview 3D Registration Transformer and SE(3) Diffusion Refinement

Haobo Jiang, Jin Xie, Jian Yang +2

Registration of multiview point clouds conventionally relies on extensive pairwise matching to build a pose graph for global synchronization, which is computationally expensive and…

cs.CV2025

MonoSE(3)-Diffusion: A Monocular SE(3) Diffusion Framework for Robust Camera-to-Robot Pose Estimation

Kangjian Zhu, Haobo Jiang, Yigong Zhang +3

We propose MonoSE(3)-Diffusion, a monocular SE(3) diffusion framework that formulates markerless, image-based robot pose estimation as a conditional denoising diffusion process. Th…

cs.CV2025

MaskHOI: Robust 3D Hand-Object Interaction Estimation via Masked Pre-training

Yuechen Xie, Haobo Jiang, Jian Yang +2

In 3D hand-object interaction (HOI) tasks, estimating precise joint poses of hands and objects from monocular RGB input remains highly challenging due to the inherent geometric amb…

cs.CV2025

Diff-Reg v2: Diffusion-Based Matching Matrix Estimation for Image Matching and 3D Registration

Qianliang Wu, Haobo Jiang, Yaqing Ding +5

Establishing reliable correspondences is crucial for all registration tasks, including 2D image registration, 3D point cloud registration, and 2D-3D image-to-point cloud registrati…