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Xiaopeng Fan

19 papers hereh-index 688 citations27 works total

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

author position
  • middle author3
  • last author16

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.AI1
  • cs.LG1
  • cs.RO1
same name
  • Xiaopeng Fan — 14 papers, h 4
  • Xiaopeng Fan — 12 papers, h 27
  • Xiaopeng Fan — 11 papers, h 14
  • Xiaopeng Fan — 8 papers, h 4
  • Xiaopeng Fan — 6 papers, h 6
  • Xiaopeng Fan — 3 papers, h 5

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
collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Hyperbolic-constraint Point Cloud Reconstruction from Single RGB-D Images

Wenrui Li, Zhe Yang, Wei Han +3

Reconstructing desired objects and scenes has long been a primary goal in 3D computer vision. Single-view point cloud reconstruction has become a popular technique due to its low c…

cs.CV2024

Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion

Jisheng Chu, Wenrui Li, Xingtao Wang +3

The common occurrence of occlusion-induced incompleteness in point clouds has made point cloud completion (PCC) a highly-concerned task in the field of geometric processing. Existi…

cs.CV2024

Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval

Wenrui Li, Wei Han, Yandu Chen +4

Due to the challenges in acquiring paired Text-3D data and the inherent irregularity of 3D data structures, combined representation learning of 3D point clouds and text remains une…

cs.CV2024

SceneDreamer360: Text-Driven 3D-Consistent Scene Generation with Panoramic Gaussian Splatting

Wenrui Li, Fucheng Cai, Yapeng Mi +4

Text-driven 3D scene generation has seen significant advancements recently. However, most existing methods generate single-view images using generative models and then stitch them…

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