2 citations · 4 across the 10 of their papers we have counts for
11 papers
MVFusion-GS: Motion-Variance Guided Temporal Attention for High-Quality Dynamic Gaussian Splatting
Jianwei Hu, Tingxuan Huang, Hengyu Zhou +4
3D Gaussian Splatting (3DGS) enables real-time novel view synthesis for static scenes. Extending it to dynamic scenes via deformation fields has recently attracted significant atte…
Dual Contouring of Signed Distance Data
Xiana Carrera, Ningna Wang, Christopher Batty +2
We propose an algorithm to reconstruct explicit polygonal meshes from discretely sampled Signed Distance Function (SDF) data, which is especially effective at recovering sharp feat…
SpUDD: Superpower Contouring of Unsigned Distance Data
Ningna Wang, Xiana Carrera, Christopher Batty +2
Unsigned distance functions offer a powerful and flexible implicit surface representation that, unlike their signed counterparts, allow for surfaces that are open, non-orientable,…
VoroUDF: Meshing Unsigned Distance Fields with Voronoi Optimization
Ningna Wang, Zilong Wang, Xiana Carrera +2
We present VoroUDF, an algorithm for reconstructing high-quality triangle meshes from Unsigned Distance Fields (UDFs). Our algorithm supports non-manifold geometry, sharp features,…
MATStruct: High-Quality Medial Mesh Computation via Structure-aware Variational Optimization
Ningna Wang, Rui Xu, Yibo Yin +4
We propose a novel optimization framework for computing the medial axis transform that simultaneously preserves the medial structure and ensures high medial mesh quality. The media…
Aerial Path Online Planning for Urban Scene Updation
Mingfeng Tang, Ningna Wang, Ziyuan Xie +4
We present the first scene-update aerial path planning algorithm specifically designed for detecting and updating change areas in urban environments. While existing methods for lar…
CADDreamer: CAD Object Generation from Single-view Images
Yuan Li, Cheng Lin, Yuan Liu +6
Diffusion-based 3D generation has made remarkable progress in recent years. However, existing 3D generative models often produce overly dense and unstructured meshes, which stand i…
TexHOI: Reconstructing Textures of 3D Unknown Objects in Monocular Hand-Object Interaction Scenes
Alakh Aggarwal, Ningna Wang, Xiaohu Guo
Reconstructing 3D models of dynamic, real-world objects with high-fidelity textures from monocular frame sequences has been a challenging problem in recent years. This difficulty s…
NASM: Neural Anisotropic Surface Meshing
Hongbo Li, Haikuan Zhu, Sikai Zhong +7
This paper introduces a new learning-based method, NASM, for anisotropic surface meshing. Our key idea is to propose a graph neural network to embed an input mesh into a high-dimen…
CWF: Consolidating Weak Features in High-quality Mesh Simplification
Rui Xu, Longdu Liu, Ningna Wang +7
In mesh simplification, common requirements like accuracy, triangle quality, and feature alignment are often considered as a trade-off. Existing algorithms concentrate on just one…
MATTopo: Topology-preserving Medial Axis Transform with Restricted Power Diagram
Ningna Wang, Hui Huang, Shibo Song +3
We present a novel topology-preserving 3D medial axis computation framework based on volumetric restricted power diagram (RPD), while preserving the medial features and geometric c…