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Yulun Wu

University of Illinois Urbana-Champaign

4 papers hereh-index 384 citations7 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV4
affiliations
  • University of Illinois Urbana-Champaign
HomepageORCID 0009-0009-4982-9630
same name
  • Yulun Wu — 10 papers, h 4
  • Yulun Wu — 6 papers, h 3
  • Yulun Wu — 6 papers, h 4
  • Yulun Wu — 4 papers, h 1
  • Yulun Wu — 4 papers, h 2
  • Yulun Wu — 3 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

collaborators

4 papers

cs.CV2026

Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction

Yulun Wu, Ruyi Zha, Wei Cao +3

Sparse-view computed tomography (CT) is critical for reducing radiation exposure to patients. Recent advances in radiative 3D Gaussian Splatting (3DGS) have enabled fast and accura…

cs.CV2026

FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Foreground-Complete 4D Reconstruction

Wei Cao, Hao Zhang, Fengrui Tian +5

Camera redirection aims to replay a dynamic scene from a single monocular video under a user-specified camera trajectory. However, large-angle redirection is inherently ill-posed:…

cs.CV2025

FatesGS: Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistency

Han Huang, Yulun Wu, Chao Deng +3

Recently, Gaussian Splatting has sparked a new trend in the field of computer vision. Apart from novel view synthesis, it has also been extended to the area of multi-view reconstru…

cs.CV2025

Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views

Yulun Wu, Han Huang, Wenyuan Zhang +4

In recent years, reconstructing indoor scene geometry from multi-view images has achieved encouraging accomplishments. Current methods incorporate monocular priors into neural impl…

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