5 papers
PROFusion: Robust and Accurate Dense Reconstruction via Camera Pose Regression and Optimization
Siyan Dong, Zijun Wang, Lulu Cai +2
Real-time dense scene reconstruction during unstable camera motions is crucial for robotics, yet current RGB-D SLAM systems fail when cameras experience large viewpoint changes, fa…
SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos
Yuzheng Liu, Siyan Dong, Shuzhe Wang +4
In this paper, we introduce SLAM3R, a novel and effective system for real-time, high-quality, dense 3D reconstruction using RGB videos. SLAM3R provides an end-to-end solution by se…
Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization
Siyan Dong, Shuzhe Wang, Shaohui Liu +4
Visual localization aims to determine the camera pose of a query image relative to a database of posed images. In recent years, deep neural networks that directly regress camera po…
SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization
Yiyang Chen, Siyan Dong, Xulong Wang +3
3D surface reconstruction from images is essential for numerous applications. Recently, Neural Radiance Fields (NeRFs) have emerged as a promising framework for 3D modeling. Howeve…
InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction
Xulong Wang, Siyan Dong, Youyi Zheng +1
3D surface reconstruction from multi-view images is essential for scene understanding and interaction. However, complex indoor scenes pose challenges such as ambiguity due to limit…