2 citations · 3 across the 4 of their papers we have counts for
6 papers · 1 filter
GARD-GS: Geometry-Guided Anchor-Regularized Gaussian Splatting Distillation
Puyuan Zhang, Jianming Huang, Wenkai Ye +1
Dense colored LiDAR maps provide accurate city-scale geometry, but lifting them into 3D Gaussian Splatting (3DGS) retains millions of primitives, making the resulting models costly…
A Real-Time Multi-Model Parametric Representation of Point Clouds
Yuan Gao, Wei Dong
In recent years, parametric representations of point clouds have been widely applied in tasks such as memory-efficient mapping and multi-robot collaboration. Highly adaptive models…
Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids
Wei Dong, Chris Choy, Charles Loop +3
Indoor scene reconstruction from monocular images has long been sought after by augmented reality and robotics developers. Recent advances in neural field representations and monoc…
Self-supervised Geometric Perception
Heng Yang, Wei Dong, Luca Carlone +1
We present self-supervised geometric perception (SGP), the first general framework to learn a feature descriptor for correspondence matching without any ground-truth geometric mode…
Deep Global Registration
Christopher Choy, Wei Dong, Vladlen Koltun
We present Deep Global Registration, a differentiable framework for pairwise registration of real-world 3D scans. Deep global registration is based on three modules: a 6-dimensiona…
Guided Feature Selection for Deep Visual Odometry
Fei Xue, Qiuyuan Wang, Xin Wang +3
We present a novel end-to-end visual odometry architecture with guided feature selection based on deep convolutional recurrent neural networks. Different from current monocular vis…