4 citations · 9 across the 15 of their papers we have counts for
6 papers · 1 filter
DualBrep: A Dual-Field Continuous Representation for B-rep Modelling
Yilin Liu, Pradeep Jayaraman, Chinthala Reddy +2
Boundary Representation (B-rep) is the most commonly used data format in Computer-Aided Design (CAD) due to its analytical precision and direct support for parametric editing. Howe…
B-repLer: Language-guided Editing of CAD Models
Yilin Liu, Niladri Shekhar Dutt, Changjian Li +1
Computer-Aided Design (CAD) models, given their compactness and precision, remain the industry standard for designing and fabricating engineering objects. However, language-guided…
Building LOD Representation for 3D Urban Scenes
Shanshan Pan, Runze Zhang, Yilin Liu +2
The advances in 3D reconstruction technology, such as photogrammetry and LiDAR scanning, have made it easier to reconstruct accurate and detailed 3D models for urban scenes. Nevert…
HoLa: B-Rep Generation using a Holistic Latent Representation
Yilin Liu, Duoteng Xu, Xingyao Yu +4
We introduce a novel representation for learning and generating Computer-Aided Design (CAD) models in the form of (B-Reps). Our representation u…
CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation
Xueqi Ma, Yilin Liu, Tianlong Gao +2
We introduce CLR-Wire, a novel framework for 3D curve-based wireframe generation that integrates geometry and topology into a unified Continuous Latent Representation. Unlike conve…
Learning Reconstructability for Drone Aerial Path Planning
Yilin Liu, Liqiang Lin, Yue Hu +4
We introduce the first learning-based reconstructability predictor to improve view and path planning for large-scale 3D urban scene acquisition using unmanned drones. In contrast t…