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Yebin Liu

11 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author9

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV11
ORCID 0000-0003-3215-0225
same name
  • Yebin Liu — 32 papers, h 60
  • Yebin Liu — 22 papers, h 13
  • Yebin Liu — 19 papers, h 10
  • Yebin Liu — 7 papers
  • Yebin Liu — 7 papers, h 3
  • Yebin Liu — 6 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedLatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar

40 citations · 52 across the 11 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 4 cited

DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras

Ruizhi Shao, Zerong Zheng, Hongwen Zhang +2

We propose DiffuStereo, a novel system using only sparse cameras (8 in this work) for high-quality 3D human reconstruction. At its core is a novel diffusion-based stereo module, wh…

cs.CV2022★ 2 cited

Learning Implicit Templates for Point-Based Clothed Human Modeling

Siyou Lin, Hongwen Zhang, Zerong Zheng +2

We present FITE, a First-Implicit-Then-Explicit framework for modeling human avatars in clothing. Our framework first learns implicit surface templates representing the coarse clot…

cs.CV2022★ 1 cited

Geometry-aware Single-image Full-body Human Relighting

Chaonan Ji, Tao Yu, Kaiwen Guo +2

Single-image human relighting aims to relight a target human under new lighting conditions by decomposing the input image into albedo, shape and lighting. Although plausible religh…

cs.CV2022

AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture

Zhe Li, Zerong Zheng, Hongwen Zhang +2

To address the ill-posed problem caused by partial observations in monocular human volumetric capture, we present AvatarCap, a novel framework that introduces animatable avatars in…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.