Shengze Wang

Orcid: 0000-0002-0660-5014

Affiliations:
  • University of North Carolina, Chapel Hill, NC, USA


According to our database1, Shengze Wang authored at least 18 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
Learning View Synthesis for Desktop Telepresence With Few RGBD Cameras.
IEEE Trans. Vis. Comput. Graph., September, 2025

Multimodal Neural Acoustic Fields for Immersive Mixed Reality.
IEEE Trans. Vis. Comput. Graph., May, 2025

My3DGen: A Scalable Personalized 3D Generative Model.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Coherent 3D Portrait Video Reconstruction via Triplane Fusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Coherent3D: Coherent 3D Portrait Video Reconstruction via Triplane Fusion.
CoRR, 2024

BLADE: Single-view Body Mesh Learning through Accurate Depth Estimation.
CoRR, 2024

Coherent 3D Portrait Video Reconstruction via Triplane Fusion.
CoRR, 2024

2023
My3DGen: Building Lightweight Personalized 3D Generative Model.
CoRR, 2023

Bringing Telepresence to Every Desk.
CoRR, 2023

INV: Towards Streaming Incremental Neural Videos.
CoRR, 2023

2022
$\mathcal {PLC}$-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders.
IEEE Robotics Autom. Lett., 2022

EDPLVO: Efficient Direct Point-Line Visual Odometry.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
DPLVO: Direct Point-Line Monocular Visual Odometry.
IEEE Robotics Autom. Lett., October, 2021

π-LSAM: LiDAR Smoothing and Mapping With Planes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
A Fast and Accurate Solution for Pose Estimation from 3D Correspondences.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences.
CoRR, 2019

2018
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss.
CoRR, 2018


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