4 citations · 5 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…