15 citations · 25 across the 8 of their papers we have counts for
8 papers
Rotation-Invariant Completion Network
Yu Chen, Pengcheng Shi
Real-world point clouds usually suffer from incompleteness and display different poses. While current point cloud completion methods excel in reproducing complete point clouds with…
DReg-NeRF: Deep Registration for Neural Radiance Fields
Yu Chen, Gim Hee Lee
Although Neural Radiance Fields (NeRF) is popular in the computer vision community recently, registering multiple NeRFs has yet to gain much attention. Unlike the existing work, Ne…
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields
Yu Chen, Gim Hee Lee
Recent works such as BARF and GARF can bundle adjust camera poses with neural radiance fields (NeRF) which is based on coordinate-MLPs. Despite the impressive results, these method…
AdaSfM: From Coarse Global to Fine Incremental Adaptive Structure from Motion
Yu Chen, Zihao Yu, Shu Song +3
Despite the impressive results achieved by many existing Structure from Motion (SfM) approaches, there is still a need to improve the robustness, accuracy, and efficiency on large-…
Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach
Yu Chen, Ji Zhao, Laurent Kneip
We address rotation averaging (RA) and its application to real-world 3D reconstruction. Local optimisation based approaches are the de facto choice, though they only guarantee a lo…
Bundle Adjustment Revisited
Yu Chen, Yisong Chen, Guoping Wang
3D reconstruction has been developing all these two decades, from moderate to medium size and to large scale. It's well known that bundle adjustment plays an important role in 3D r…