2 citations · 2 across the 9 of their papers we have counts for
10 papers
Proximity3D: Shape from Capacitive Proximity on Sensing Manifold
Hao Chen, Chenming Wu, Chun Ping Lam +6
Most shape reconstruction methods assume measurements defined over planar sensing domains, such as RGB images or depth maps. In this paper, we use a curved capacitive textile as a…
WildFab: Multi-Axis 3D Printing from Models in the Wild
Jiasheng Qu, Zhikai Shen, Chenyu Xu +6
Multi-axis 3D printing enables support-free fabrication and improved part quality, but robustly processing real-world geometries remains challenging. Models from design workflows o…
RoSe-SLAM: Robust Semantic-Aware Gaussian Splatting SLAM from Dynamic Monocular Videos
Wenting Wang, Jiaxin Guo, Wenzhen Dong +3
In dynamic and unstructured environments, conventional SLAM systems generally suffer from significant accuracy degeneration due to their static assumptions. In this work, we propos…
FrameTwin: Curve-Anchored Gaussian Alignment from Sparse Views for Adaptive Wireframe 3D Printing
Wenting Wang, Zhuo Huang, Kun Qian +5
We present FrameTwin, a curve-anchored Gaussian alignment framework that uses sparse-view images to close the control loop for adaptive wireframe 3D printing. Our key idea is to ca…
SaLon3R: Structure-aware Long-term Generalizable 3D Reconstruction from Unposed Images
Jiaxin Guo, Tongfan Guan, Wenzhen Dong +5
Recent advances in 3D Gaussian Splatting (3DGS) have enabled generalizable, on-the-fly reconstruction of sequential input views. However, existing methods often predict per-pixel G…
Towards Intuitive Human-Robot Interaction through Embodied Gesture-Driven Control with Woven Tactile Skins
ChunPing Lam, Xiangjia Chen, Chenming Wu +6
This paper presents a novel human-robot interaction (HRI) framework that enables intuitive gesture-driven control through a capacitance-based woven tactile skin. Unlike conventiona…
INF-3DP: Implicit Neural Fields for Collision-Free Multi-Axis 3D Printing
Jiasheng Qu, Zhuo Huang, Dezhao Guo +5
We introduce a general, scalable computational framework for multi-axis 3D printing based on implicit neural fields (INFs) that unifies all stages of toolpath generation and global…
Curve-based slicer for multi-axis DLP 3D printing
Chengkai Dai, Tao Liu, Dezhao Guo +4
This paper introduces a novel curve-based slicing method for generating planar layers with dynamically varying orientations in digital light processing (DLP) 3D printing. Our appro…
SERES: Semantic-aware neural reconstruction from sparse views
Bo Xu, Yuhu Guo, Yuchao Wang +4
We propose a semantic-aware neural reconstruction method to generate 3D high-fidelity models from sparse images. To tackle the challenge of severe radiance ambiguity caused by mism…
Computer-Controlled 3D Freeform Surface Weaving
Xiangjia Chen, Lip M. Lai, Zishun Liu +4
In this paper, we present a new computer-controlled weaving technology that enables the fabrication of woven structures in the shape of given 3D surfaces by using threads in non-tr…