Zhijing Shao

Orcid: 0009-0008-3204-3271

According to our database1, Zhijing Shao authored at least 13 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
OmniFit: Multi-modal 3D Body Fitting via Scale-agnostic Dense Landmark Prediction.
CoRR, April, 2026

2025
Hi-Reco: High-Fidelity Real-Time Conversational Digital Humans.
CoRR, November, 2025

HybridDeform4D: Joint Refinement of Mesh and Gaussian Splatting for Video-to-4D Object Generation.
Proceedings of the SIGGRAPH Asia 2025 Posters, 2025

Text2VDM: Text to Vector Displacement Maps for Expressive and Interactive 3D Sculpting.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

HeadEvolver: Text to Head Avatars via Expressive and Attribute-Preserving Mesh Deformation.
Proceedings of the International Conference on 3D Vision, 2025

DEGAS: Detailed Expressions on Full-Body Gaussian Avatars.
Proceedings of the International Conference on 3D Vision, 2025

2024
DreamMapping: High-Fidelity Text-to-3D Generation via Variational Distribution Mapping.
CoRR, 2024

HeadEvolver: Text to Head Avatars via Locally Learnable Mesh Deformation.
CoRR, 2024

SMPLX-Lite: A Realistic and Drivable Avatar Benchmark with Rich Geometry and Texture Annotations.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Semi-Stereo: A Universal Stereo Matching Framework for Imperfect Data via Semi-supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SplattingAvatar: Realistic Real-Time Human Avatars With Mesh-Embedded Gaussian Splatting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Introducing Massive Open Metaverse Course and Its Enabling Technology.
IEEE Trans. Learn. Technol., December, 2023

Patchmatch Stereo++: Patchmatch Binocular Stereo with Continuous Disparity Optimization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023


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