Shaofei Wang

Affiliations:
  • ETH Zurich, Switzerland


According to our database1, Shaofei Wang authored at least 12 papers between 2021 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
DNF-Avatar: Distilling Neural Fields for Real-time Animatable Avatar Relighting.
CoRR, April, 2025

Relightable Full-Body Gaussian Codec Avatars.
CoRR, January, 2025

Reconstructing Animatable and Relightable Neural Avatars from Sparse Sensor Inputs.
PhD thesis, 2025

RISE-SDF: A Relightable Information-Shared Signed Distance Field for Glossy Object Inverse Rendering.
Proceedings of the International Conference on 3D Vision, 2025

2024
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Synthesizing Diverse Human Motions in 3D Indoor Scenes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Compositional Human-Scene Interaction Synthesis with Semantic Control.
Proceedings of the Computer Vision - ECCV 2022, 2022

ARAH: Animatable Volume Rendering of Articulated Human SDFs.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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