6 papers
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…