13 citations · 23 across the 7 of their papers we have counts for
6 papers · 1 filter
CTGAN: Semantic-guided Conditional Texture Generator for 3D Shapes
Yi-Ting Pan, Chai-Rong Lee, Shu-Ho Fan +4
The entertainment industry relies on 3D visual content to create immersive experiences, but traditional methods for creating textured 3D models can be time-consuming and subjective…
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…
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…