30 citations · 34 across the 7 of their papers we have counts for
7 papers
Revisiting CAD Model Generation by Learning Raster Sketch
Pu Li, Wenhao Zhang, Jianwei Guo +2
The integration of deep generative networks into generating Computer-Aided Design (CAD) models has garnered increasing attention over recent years. Traditional methods often rely o…
DehazeGS: Seeing Through Fog with 3D Gaussian Splatting
Jinze Yu, Yiqun Wang, Aiheng Jiang +5
Current novel view synthesis methods are typically designed for high-quality and clean input images. However, in foggy scenes, scattering and attenuation can significantly degrade…
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations
Pu Li, Jianwei Guo, Xiaopeng Zhang +1
Reverse engineering CAD models from raw geometry is a classic but strenuous research problem. Previous learning-based methods rely heavily on labels due to the supervised design pa…
SARNet: Semantic Augmented Registration of Large-Scale Urban Point Clouds
Chao Liu, Jianwei Guo, Dong-Ming Yan +3
Registering urban point clouds is a quite challenging task due to the large-scale, noise and data incompleteness of LiDAR scanning data. In this paper, we propose SARNet, a novel s…
Deep Point Cloud Simplification for High-quality Surface Reconstruction
Yuanqi Li, Jianwei Guo, Xinran Yang +4
The growing size of point clouds enlarges consumptions of storage, transmission, and computation of 3D scenes. Raw data is redundant, noisy, and non-uniform. Therefore, simplifying…
Self-supervised Re-renderable Facial Albedo Reconstruction from Single Image
Mingxin Yang, Jianwei Guo, Zhanglin Cheng +2
Reconstructing high-fidelity 3D facial texture from a single image is a quite challenging task due to the lack of complete face information and the domain gap between the 3D face a…
MGCN: Descriptor Learning using Multiscale GCNs
Yiqun Wang, Jing Ren, Dong-Ming Yan +3
We propose a novel framework for computing descriptors for characterizing points on three-dimensional surfaces. First, we present a new non-learned feature that uses graph wavelets…