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researcher

Takeo Igarashi

11 papers hereh-index 7163 citations24 works total

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

author position
  • middle author3
  • last author7

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.GR5
  • cs.CV4
  • cs.HC2
same name
  • Takeo Igarashi — 8 papers
  • Takeo Igarashi — 5 papers
  • Takeo Igarashi — 3 papers, h 5
  • Takeo Igarashi — 2 papers, h 3
  • Takeo Igarashi — 1 paper, h 1

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
20242026
most citedFontCraft: Multimodal Font Design Using Interactive Bayesian Optimization

5 citations · 5 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Dropping Anchor and Spherical Harmonics for Sparse-view Gaussian Splatting

Shuangkang Fang, I-Chao Shen, Xuanyang Zhang +5

Recent 3D Gaussian Splatting (3DGS) Dropout methods address overfitting under sparse-view conditions by randomly nullifying Gaussian opacities. However, we identify a neighbor comp…

cs.CV2025

Cascaded Robust Rectification for Arbitrary Document Images

Chaoyun Wang, Quanxin Huang, I-Chao Shen +3

Document rectification in real-world scenarios poses significant challenges due to extreme variations in camera perspectives and physical distortions. Driven by the insight that co…

cs.CV2025

NeRF Is a Valuable Assistant for 3D Gaussian Splatting

Shuangkang Fang, I-Chao Shen, Takeo Igarashi +5

We introduce NeRF-GS, a novel framework that jointly optimizes Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS). This framework leverages the inherent continuous spat…

cs.CV2025

Axis-Aligned Document Dewarping

Chaoyun Wang, I-Chao Shen, Takeo Igarashi +1

Document dewarping is crucial for many applications. However, existing learning-based methods rely heavily on supervised regression with annotated data without fully leveraging the…

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