20 citations · 43 across the 8 of their papers we have counts for
10 papers
CGGT: Curve-Grounded Geometry Transformer for 3D Parametric Curve Reconstruction
Zhirui Gao, Renjiao Yi, Yunfan Ye +4
Recovering editable 3D parametric curves from 2D images is a fundamental challenge in computer graphics, bridging pixel-based perception and vector-based CAD modeling. Existing NeR…
HoloTetSphere: Unified TetSphere Mesh Reconstruction for Physical Simulations
YaQiao Dai, Renjiao Yi, Zhirui Gao +3
Standard pipelines for physics-ready 3D reconstruction rely on a decoupled two-stage paradigm: extracting surface geometry followed by an error-prone tetrahedralization process. Wh…
Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction
Zhirui Gao, Renjiao Yi, Yaqiao Dai +4
This paper presents an end-to-end framework for reconstructing 3D parametric curves directly from multi-view edge maps. Contrasting with existing two-stage methods that follow a se…
BoxFusion: Reconstruction-Free Open-Vocabulary 3D Object Detection via Real-Time Multi-View Box Fusion
Yuqing Lan, Chenyang Zhu, Zhirui Gao +5
Open-vocabulary 3D object detection has gained significant interest due to its critical applications in autonomous driving and embodied AI. Existing detection methods, whether offl…
Generic Objects as Pose Probes for Few-shot View Synthesis
Zhirui Gao, Renjiao Yi, Chenyang Zhu +3
Radiance fields including NeRFs and 3D Gaussians demonstrate great potential in high-fidelity rendering and scene reconstruction, while they require a substantial number of posed i…
Self-supervised Learning of Hybrid Part-aware 3D Representations of 2D Gaussians and Superquadrics
Zhirui Gao, Renjiao Yi, Yuhang Huang +3
Low-level 3D representations, such as point clouds, meshes, NeRFs and 3D Gaussians, are commonly used for modeling 3D objects and scenes. However, cognitive studies indicate that h…
2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds
Minhao Li, Zheng Qin, Zhirui Gao +4
The commonly adopted detect-then-match approach to registration finds difficulties in the cross-modality cases due to the incompatible keypoint detection and inconsistent feature d…
Delving into Crispness: Guided Label Refinement for Crisp Edge Detection
Yunfan Ye, Renjiao Yi, Zhirui Gao +2
Learning-based edge detection usually suffers from predicting thick edges. Through extensive quantitative study with a new edge crispness measure, we find that noisy human-labeled…
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images
Yunfan Ye, Renjiao Yi, Zhirui Gao +3
We study the problem of reconstructing 3D feature curves of an object from a set of calibrated multi-view images. To do so, we learn a neural implicit field representing the densit…
Learning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence Refinement
Zhirui Gao, Renjiao Yi, Zheng Qin +3
Template matching is a fundamental task in computer vision and has been studied for decades. It plays an essential role in manufacturing industry for estimating the poses of differ…