5 papers
ScaleBlind: Point Cloud Completion under Unknown Scale
Shenghui Wu, Chen Wang, Yuan Feng +3
Point cloud completion aims to infer a complete 3D shape from a partial point cloud and serves as a fundamental building block for downstream tasks such as reconstruction, editing,…
UniRED: Unified RGB-D Video Frame Interpolation with Event Guidance
Yinuo Zhang, Guangshun Wei, Yuanfeng Zhou +1
High frame-rate RGB-D videos are crucial for a variety of downstream tasks, including motion analysis, dynamic scene understanding, and 3D reconstruction. However, due to hardware…
Ev-Layout: A Large-scale Event-based Multi-modal Dataset for Indoor Layout Estimation and Tracking
Xucheng Guo, Yiran Shen, Xiaofang Xiao +2
This paper presents Ev-Layout, a novel large-scale event-based multi-modal dataset designed for indoor layout estimation and tracking. Ev-Layout makes key contributions to the comm…
PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors
Guangshun Wei, Yuan Feng, Long Ma +3
This paper presents PCDreamer, a novel method for point cloud completion. Traditional methods typically extract features from partial point clouds to predict missing regions, but t…
Monge-Ampere Regularization for Learning Arbitrary Shapes from Point Clouds
Chuanxiang Yang, Yuanfeng Zhou, Guangshun Wei +4
As commonly used implicit geometry representations, the signed distance function (SDF) is limited to modeling watertight shapes, while the unsigned distance function (UDF) is capab…