Xiaoyang Lyu

According to our database1, Xiaoyang Lyu authored at least 15 papers between 2020 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction.
CoRR, 2024

DO3D: Self-supervised Learning of Decomposed Object-aware 3D Motion and Depth from Monocular Videos.
CoRR, 2024

Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting.
CoRR, 2024

EscherNet: A Generative Model for Scalable View Synthesis.
CoRR, 2024

2023
MFF-Net: Towards Efficient Monocular Depth Completion With Multi-Modal Feature Fusion.
IEEE Robotics Autom. Lett., 2023

SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes.
CoRR, 2023

RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction.
CoRR, 2023

Efficient Implicit Neural Reconstruction Using LiDAR.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning A Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Monocular Depth Completion.
CoRR, 2020


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