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Fang Zhao

4 papers hereh-index 495 citations7 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Fang Zhao — 9 papers, h 31
  • Fang Zhao — 7 papers, h 4
  • Fang Zhao — 7 papers, h 3
  • Fang Zhao — 6 papers, h 3
  • Fang Zhao — 4 papers, h 9
  • Fang Zhao — 4 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

most citedHMC: Hierarchical Mesh Coarsening for Skeleton-free Motion Retargeting

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

MotionRFT: Unified Reinforcement Fine-Tuning for Text-to-Motion Generation

Xiaofeng Tan, Wanjiang Weng, Hongsong Wang +3

Text-to-motion generation has advanced with diffusion- and flow-based generative models, yet supervised pretraining remains insufficient to align models with high-level objectives…

cs.CV2023

Learning Anchor Transformations for 3D Garment Animation

Fang Zhao, Zekun Li, Shaoli Huang +5

This paper proposes an anchor-based deformation model, namely AnchorDEF, to predict 3D garment animation from a body motion sequence. It deforms a garment mesh template by a mixtur…

cs.CV2023★ 1 cited

HMC: Hierarchical Mesh Coarsening for Skeleton-free Motion Retargeting

Haoyu Wang, Shaoli Huang, Fang Zhao +2

We present a simple yet effective method for skeleton-free motion retargeting. Previous methods transfer motion between high-resolution meshes, failing to preserve the inherent loc…

cs.CV2023

Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry

Jiaxu Zhang, Junwu Weng, Di Kang +7

A good motion retargeting cannot be reached without reasonable consideration of source-target differences on both the skeleton and shape geometry levels. In this work, we propose a…

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