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Bin Fu

4 papers here

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CV4
ORCID 0000-0002-1526-8654
same name
  • Bin Fu — 8 papers
  • Bin Fu — 5 papers, h 19
  • Bin Fu — 3 papers
  • Bin Fu — 2 papers
  • Bin Fu — 1 paper
  • Bin Fu — 1 paper, h 2

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 citedStyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation

13 citations · 15 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering

Chi Zhang, Wei Yin, Gang Yu +5

In this study, we address the challenge of 3D scene structure recovery from monocular depth estimation. While traditional depth estimation methods leverage labeled datasets to dire…

cs.CV2023

Deformation Robust Text Spotting with Geometric Prior

Xixuan Hao, Aozhong Zhang, Xianze Meng +1

The goal of text spotting is to perform text detection and recognition in an end-to-end manner. Although the diversity of luminosity and orientation in scene texts has been widely…

cs.CV2023★ 13 cited

StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation

Chi Zhang, Yiwen Chen, Yijun Fu +7

The recent advancements in image-text diffusion models have stimulated research interest in large-scale 3D generative models. Nevertheless, the limited availability of diverse 3D r…

cs.CV2022★ 2 cited

GenText: Unsupervised Artistic Text Generation via Decoupled Font and Texture Manipulation

Qirui Huang, Bin Fu, Aozhong Zhang +1

Automatic artistic text generation is an emerging topic which receives increasing attention due to its wide applications. The artistic text can be divided into three components, co…

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