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Tianyu Huang

4 papers hereh-index 212 citations5 works total

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

author position
  • sole author1
  • first author1
  • middle author2

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

fields
  • cs.CV2
  • cs.GR2
same name
  • Tianyu Huang — 8 papers, h 8
  • Tianyu Huang — 4 papers, h 4
  • Tianyu Huang — 4 papers, h 2
  • Tianyu Huang — 4 papers, h 5
  • Tianyu Huang — 3 papers, h 3
  • Tianyu Huang — 2 papers, 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 cited2DGH: 2D Gaussian-Hermite Splatting for High-quality Rendering and Better Geometry Features

2 citations · 2 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CV2026★ 2 cited

2DGH: 2D Gaussian-Hermite Splatting for High-quality Rendering and Better Geometry Features

Ruihan Yu, Tianyu Huang, Jingwang Ling +1

2D Gaussian Splatting has recently emerged as a significant method in 3D reconstruction, enabling novel view synthesis and geometry reconstruction simultaneously. While the well-kn…

cs.CV2025

VGGTFace: Topologically Consistent Facial Geometry Reconstruction in the Wild

Xin Ming, Yuxuan Han, Tianyu Huang +1

Reconstructing topologically consistent facial geometry is crucial for the digital avatar creation pipelines. Existing methods either require tedious manual efforts, lack generaliz…

cs.GR2025

Geometric Queries on Closed Implicit Surfaces for Walk on Stars

Tianyu Huang

Walk on stars (WoSt) is currently one of the most advanced Monte Carlo solvers for PDEs. Unfortunately, the lack of reliable geometric query approaches has hindered its applicabili…

cs.GR2025

Guiding-Based Importance Sampling for Walk on Stars

Tianyu Huang, Jingwang Ling, Shuang Zhao +1

Walk on stars (WoSt) has shown its power in being applied to Monte Carlo methods for solving partial differential equations, but the sampling techniques in WoSt are not satisfactor…

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