13 citations · 60 across the 9 of their papers we have counts for
9 papers
Layout-guided Indoor Panorama Inpainting with Plane-aware Normalization
Chao-Chen Gao, Cheng-Hsiu Chen, Jheng-Wei Su +1
We present an end-to-end deep learning framework for indoor panoramic image inpainting. Although previous inpainting methods have shown impressive performance on natural perspectiv…
Sampling Neural Radiance Fields for Refractive Objects
Jen-I Pan, Jheng-Wei Su, Kai-Wen Hsiao +2
Recently, differentiable volume rendering in neural radiance fields (NeRF) has gained a lot of popularity, and its variants have attained many impressive results. However, existing…
GPR-Net: Multi-view Layout Estimation via a Geometry-aware Panorama Registration Network
Jheng-Wei Su, Chi-Han Peng, Peter Wonka +1
Reconstructing 3D layouts from multiple panoramas has received increasing attention recently as estimating a complete layout of a large-scale and complex room from a…
Instance-aware Image Colorization
Jheng-Wei Su, Hung-Kuo Chu, Jia-Bin Huang
Image colorization is inherently an ill-posed problem with multi-modal uncertainty. Previous methods leverage the deep neural network to map input grayscale images to plausible col…
Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video
Peng Wang, Lingjie Liu, Nenglun Chen +3
Thin structures, such as wire-frame sculptures, fences, cables, power lines, and tree branches, are common in the real world. It is extremely challenging to acquire their 3D digita…
Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art Methods
Chuhang Zou, Jheng-Wei Su, Chi-Han Peng +5
Recent approaches for predicting layouts from 360 panoramas produce excellent results. These approaches build on a common framework consisting of three steps: a pre-processing step…
Self-Supervised Learning of Depth and Camera Motion from 360° Videos
Fu-En Wang, Hou-Ning Hu, Hsien-Tzu Cheng +5
As 360° cameras become prevalent in many autonomous systems (e.g., self-driving cars and drones), efficient 360° perception becomes more and more important. We propose a novel self…
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama
Shang-Ta Yang, Fu-En Wang, Chi-Han Peng +3
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 leve…
SmartAnnotator: An Interactive Tool for Annotating RGBD Indoor Images
Yu-Shiang Wong, Hung-Kuo Chu, Niloy J. Mitra
RGBD images with high quality annotations in the form of geometric (i.e., segmentation) and structural (i.e., how do the segments are mutually related in 3D) information provide va…