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Ligang Liu

22 papers hereh-index 5510k citations250 works total

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

author position
  • first author1
  • middle author10
  • last author11

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.GR7
  • cs.CG3
  • cs.LG1
  • cs.RO1
  • math.OC1
same name
  • Ligang Liu — 9 papers, h 2
  • Ligang Liu — 6 papers, h 5
  • Ligang Liu — 5 papers, h 2
  • Ligang Liu — 5 papers, h 3
  • Ligang Liu — 4 papers, h 4
  • Ligang Liu — 4 papers, 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
20102023
most cited3D Face Reconstruction with Geometry Details from a Single Image

164 citations · 338 across the 22 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 8 cited

HeadNeRF: A Real-time NeRF-based Parametric Head Model

Yang Hong, Bo Peng, Haiyao Xiao +2

In this paper, we propose HeadNeRF, a novel NeRF-based parametric head model that integrates the neural radiance field to the parametric representation of the human head. It can re…

cs.CV2021★ 4 cited

StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision

Yang Hong, Juyong Zhang, Boyi Jiang +3

In this paper, we propose StereoPIFu, which integrates the geometric constraints of stereo vision with implicit function representation of PIFu, to recover the 3D shape of the clot…

cs.GR2021★ 1 cited

A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpoint

Yu-Jie Yuan, Yu-Kun Lai, Tong Wu +2

3D shape editing is widely used in a range of applications such as movie production, computer games and computer aided design. It is also a popular research topic in computer graph…

cs.CG2021

Mesh Total Generalized Variation for Denoising

Zheng Liu, YanLei Li, Weina Wang +2

Total Generalized Variation (TGV) has recently been proven certainly successful in image processing for preserving sharp features as well as smooth transition variations. However,…

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