most citedNeural Intrinsic Embedding for Non-rigid Point Cloud Matching

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

DynamicTrack: Advancing Gigapixel Tracking in Crowded Scenes

Yunqi Zhao, Yuchen Guo, Zheng Cao +3

Tracking in gigapixel scenarios holds numerous potential applications in video surveillance and pedestrian analysis. Existing algorithms attempt to perform tracking in crowded scen…

cs.CV2024

XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold

Guangyu Wang, Jinzhi Zhang, Fan Wang +2

We propose XScale-NVS for high-fidelity cross-scale novel view synthesis of real-world large-scale scenes. Existing representations based on explicit surface suffer from discretiza…

cs.CV2024

Beyond Talking -- Generating Holistic 3D Human Dyadic Motion for Communication

Mingze Sun, Chao Xu, Xinyu Jiang +3

In this paper, we introduce an innovative task focused on human communication, aiming to generate 3D holistic human motions for both speakers and listeners. Central to our approach…

cs.CV2023

OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning

Haiyang Ying, Yixuan Yin, Jinzhi Zhang +4

Towards holistic understanding of 3D scenes, a general 3D segmentation method is needed that can segment diverse objects without restrictions on object quantity or categories, whil…

cs.CV20231 cited

Non-Rigid Shape Registration via Deep Functional Maps Prior

Puhua Jiang, Mingze Sun, Ruqi Huang

In this paper, we propose a learning-based framework for non-rigid shape registration without correspondence supervision. Traditional shape registration techniques typically rely o…

cs.CV20231 cited

Neural Intrinsic Embedding for Non-rigid Point Cloud Matching

Puhua Jiang, Mingze Sun, Ruqi Huang

As a primitive 3D data representation, point clouds are prevailing in 3D sensing, yet short of intrinsic structural information of the underlying objects. Such discrepancy poses gr…