4 citations · 4 across the 6 of their papers we have counts for
8 papers · 1 filter
Sat3DGen: Comprehensive Street-Level 3D Scene Generation from Single Satellite Image
Ming Qian, Zimin Xia, Changkun Liu +6
Generating a street-level 3D scene from a single satellite image is a crucial yet challenging task. Current methods present a stark trade-off: geometry-colorization models achieve…
Mem3R: Streaming 3D Reconstruction with Hybrid Memory via Test-Time Training
Changkun Liu, Jiezhi Yang, Zeman Li +3
Streaming 3D perception is well suited to robotics and augmented reality, where long visual streams must be processed efficiently and consistently. Recent recurrent models offer a…
PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-Forward Planar Splatting
Changkun Liu, Bin Tan, Zeran Ke +6
This paper addresses metric 3D reconstruction of indoor scenes by exploiting their inherent geometric regularities with compact representations. Using planar 3D primitives - a well…
GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting
Changkun Liu, Shuai Chen, Yash Bhalgat +5
We leverage 3D Gaussian Splatting (3DGS) as a scene representation and propose a novel test-time camera pose refinement (CPR) framework, GS-CPR. This framework enhances the localiz…
AIR-HLoc: Adaptive Retrieved Images Selection for Efficient Visual Localisation
Changkun Liu, Jianhao Jiao, Huajian Huang +3
State-of-the-art hierarchical localisation pipelines (HLoc) employ image retrieval (IR) to establish 2D-3D correspondences by selecting the top- most similar images from a refer…
MobileARLoc: On-device Robust Absolute Localisation for Pervasive Markerless Mobile AR
Changkun Liu, Yukun Zhao, Tristan Braud
Recent years have seen significant improvement in absolute camera pose estimation, paving the way for pervasive markerless Augmented Reality (AR). However, accurate absolute pose e…