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20182023
most citedSampling Neural Radiance Fields for Refractive Objects

13 citations · 27 across the 5 of their papers we have counts for

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7 papers · 1 filter

cs.CV2023

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…

cs.CV2022★ 13 cited

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…

cs.CV2022

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…

cs.CV2020★ 2 cited

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…

cs.CV2019

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…

cs.CV2018

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…