Zhehao Shen

Orcid: 0009-0001-8933-0385

According to our database1, Zhehao Shen authored at least 11 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
A general framework for Gaussian Splatting-based human-centric volumetric videos.
Vis. Intell., 2026

2025
BEAM: Bridging Physically-based Rendering and Gaussian Modeling for Relightable Volumetric Video.
CoRR, February, 2025

EfficientPEAL: Efficient prior-embedded attention learning for partially overlapping point cloud registration.
Expert Syst. Appl., 2025

Topology-Aware Optimization of Gaussian Primitives for Human-Centric Volumetric Videos.
Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

Dynamic Gaussian Streams for Volumetric Video via Codebook-Based Quantization.
Proceedings of the IEEE International Workshop on Multimedia Signal Processing, 2025

BEAM: Bridging Physically-based Rendering and Gaussian Modeling for Relightable Volumetric Video.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook.
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Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

RePerformer: Immersive Human-centric Volumetric Videos from Playback to Photoreal Reperformance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Robust Dual Gaussian Splatting for Immersive Human-centric Volumetric Videos.
ACM Trans. Graph., December, 2024

HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Instant-NVR: Instant Neural Volumetric Rendering for Human-object Interactions from Monocular RGBD Stream.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


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