Search Results for author: Fu-En Wang

Found 8 papers, 6 papers with code

BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation

1 code implementation7 Sep 2022 Fu-En Wang, Yu-Hsuan Yeh, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun

Thus, state-of-the-art frameworks for monocular 360 depth estimation such as bi-projection fusion in BiFuse are proposed.

Monocular Depth Estimation

LED2-Net: Monocular 360deg Layout Estimation via Differentiable Depth Rendering

no code implementations CVPR 2021 Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai

Although significant progress has been made in room layout estimation, most methods aim to reduce the loss in the 2D pixel coordinate rather than exploiting the room structure in the 3D space.

Depth Estimation Depth Prediction +1

LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering

1 code implementation1 Apr 2021 Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai

Although significant progress has been made in room layout estimation, most methods aim to reduce the loss in the 2D pixel coordinate rather than exploiting the room structure in the 3D space.

Depth Estimation Depth Prediction +1

BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion

1 code implementation CVPR 2020 Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai

Depth estimation from a monocular 360 image is an emerging problem that gains popularity due to the availability of consumer-level 360 cameras and the complete surrounding sensing capability.

Depth Estimation

LayoutMP3D: Layout Annotation of Matterport3D

1 code implementation30 Mar 2020 Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai

Inferring the information of 3D layout from a single equirectangular panorama is crucial for numerous applications of virtual reality or robotics (e. g., scene understanding and navigation).

Scene Understanding

Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation

2 code implementations20 Dec 2018 Tsun-Hsuan Wang, Fu-En Wang, Juan-Ting Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun

We propose a novel plug-and-play (PnP) module for improving depth prediction with taking arbitrary patterns of sparse depths as input.

Depth Estimation Depth Prediction

Self-Supervised Learning of Depth and Camera Motion from 360° Videos

no code implementations13 Nov 2018 Fu-En Wang, Hou-Ning Hu, Hsien-Tzu Cheng, Juan-Ting Lin, Shang-Ta Yang, Meng-Li Shih, Hung-Kuo Chu, Min Sun

We propose a novel self-supervised learning approach for predicting the omnidirectional depth and camera motion from a 360{\deg} video.

Depth And Camera Motion Depth Prediction +3

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