Chi-Han Peng — accepted AI-conference papers

2023

SLIBO-Net: Floorplan Reconstruction via Slicing Box Representation with Local Geometry Regularization

Jheng-Wei Su, Kuei-Yu Tung, Chi-Han Peng, Peter Wonka, Hung-Kuo Chu

NeurIPS 2023poster

This paper focuses on improving the reconstruction of 2D floorplans from unstructured 3D point clouds. We identify opportunities for enhancement over the existing methods in three main areas: semantic quality, efficient representation, and local geometric details. To address these, we presents SLIBO…

Cited by 8 Source ↗PDF ↗Scholar ↗

2019

DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama

Shang-Ta Yang, Fu-En Wang, Chi-Han Peng, Peter Wonka, Min Sun, Hung-Kuo Chu

CVPR 2019poster

We present a deep learning framework, called DuLa-Net, to predict Manhattan-world 3D room layouts from a single RGB panorama. To achieve better prediction accuracy, our method leverages two projections of the panorama at once, namely the equirectangular panorama-view and the perspective ceiling-vie…

Cited by 179 PDF ↗Scholar ↗