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Lin Gao

5 papers hereh-index 6346 citations10 works total

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

author position
  • middle author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.GR1
same name
  • Lin Gao — 38 papers, h 27
  • Lin Gao — 23 papers, h 43
  • Lin Gao — 13 papers, h 14
  • Lin Gao — 7 papers, h 6
  • Lin Gao — 5 papers, h 33
  • Lin Gao — 5 papers, h 11

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
20212026
most citedOctField: Hierarchical Implicit Functions for 3D Modeling

13 citations · 20 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

DualPrim: Compact 3D Reconstruction with Positive and Negative Primitives

Xiaoxu Meng, Zhongmin Chen, Bo Yang +3

Neural reconstructions often trade structure for fidelity, yielding dense and unstructured meshes with irregular topology and weak part boundaries that hinder editing, animation, a…

cs.CV2023★ 4 cited

Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields

Wenbo Hu, Yuling Wang, Lin Ma +4

Despite the tremendous progress in neural radiance fields (NeRF), we still face a dilemma of the trade-off between quality and efficiency, e.g., MipNeRF presents fine-detailed and…

cs.CV2023★ 1 cited

NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering

Yu-Tao Liu, Li Wang, Jie yang +4

Multi-view shape reconstruction has achieved impressive progresses thanks to the latest advances in neural implicit surface rendering. However, existing methods based on signed dis…

cs.CV2021★ 2 cited

High-Fidelity Point Cloud Completion with Low-Resolution Recovery and Noise-Aware Upsampling

Ren-Wu Li, Bo Wang, Chun-Peng Li +2

Completing an unordered partial point cloud is a challenging task. Existing approaches that rely on decoding a latent feature to recover the complete shape, often lead to the compl…

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