344 citations · 364 across the 12 of their papers we have counts for
12 papers
DualReg: Dual-Space Filtering and Reinforcement for Rigid Registration
Jiayi Li, Yuxin Yao, Qiuhang Lu +1
Noisy, partially overlapping data and the need for real-time processing pose major challenges for rigid registration. Considering that feature-based matching can handle large trans…
RigGS: Rigging of 3D Gaussians for Modeling Articulated Objects in Videos
Yuxin Yao, Zhi Deng, Junhui Hou
This paper considers the problem of modeling articulated objects captured in 2D videos to enable novel view synthesis, while also being easily editable, drivable, and re-posable. T…
SPARE: Symmetrized Point-to-Plane Distance for Robust Non-Rigid 3D Registration
Yuxin Yao, Bailin Deng, Junhui Hou +1
Existing optimization-based methods for non-rigid registration typically minimize an alignment error metric based on the point-to-point or point-to-plane distance between correspon…
Neural-ABC: Neural Parametric Models for Articulated Body with Clothes
Honghu Chen, Yuxin Yao, Juyong Zhang
In this paper, we introduce Neural-ABC, a novel parametric model based on neural implicit functions that can represent clothed human bodies with disentangled latent spaces for iden…
DynoSurf: Neural Deformation-based Temporally Consistent Dynamic Surface Reconstruction
Yuxin Yao, Siyu Ren, Junhui Hou +3
This paper explores the problem of reconstructing temporally consistent surfaces from a 3D point cloud sequence without correspondence. To address this challenging task, we propose…
Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization
Yuxin Yao, Bailin Deng, Weiwei Xu +1
Non-rigid 3D registration, which deforms a source 3D shape in a non-rigid way to align with a target 3D shape, is a classical problem in computer vision. Such problems can be chall…
A Survey of Non-Rigid 3D Registration
Bailin Deng, Yuxin Yao, Roberto M. Dyke +1
Non-rigid registration computes an alignment between a source surface with a target surface in a non-rigid manner. In the past decade, with the advances in 3D sensing technologies…
A Robust Loss for Point Cloud Registration
Zhi Deng, Yuxin Yao, Bailin Deng +1
The performance of surface registration relies heavily on the metric used for the alignment error between the source and target shapes. Traditionally, such a metric is based on the…
Fast and Robust Iterative Closest Point
Juyong Zhang, Yuxin Yao, Bailin Deng
The Iterative Closest Point (ICP) algorithm and its variants are a fundamental technique for rigid registration between two point sets, with wide applications in different areas fr…
Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford Splitting
Wenqing Ouyang, Yue Peng, Yuxin Yao +2
The alternating direction multiplier method (ADMM) is widely used in computer graphics for solving optimization problems that can be nonsmooth and nonconvex. It converges quickly t…
Quasi-Newton Solver for Robust Non-Rigid Registration
Yuxin Yao, Bailin Deng, Weiwei Xu +1
Imperfect data (noise, outliers and partial overlap) and high degrees of freedom make non-rigid registration a classical challenging problem in computer vision. Existing methods ty…
Fast K-Means Clustering with Anderson Acceleration
Juyong Zhang, Yuxin Yao, Yue Peng +2
We propose a novel method to accelerate Lloyd's algorithm for K-Means clustering. Unlike previous acceleration approaches that reduce computational cost per iterations or improve i…