4 citations · 8 across the 6 of their papers we have counts for
6 papers
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…
Scene text removal via cascaded text stroke detection and erasing
Xuewei Bian, Chaoqun Wang, Weize Quan +3
Recent learning-based approaches show promising performance improvement for scene text removal task. However, these methods usually leave some remnants of text and obtain visually…
Detecting Colorized Images via Convolutional Neural Networks: Toward High Accuracy and Good Generalization
Weize Quan, Dong-Ming Yan, Kai Wang +2
Image colorization achieves more and more realistic results with the increasing computation power of recent deep learning techniques. It becomes more difficult to identify the fake…