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researcher

Kui Wu

5 papers hereh-index 342 citations13 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.GR4
  • cs.CV1
same name
  • Kui Wu — 9 papers, h 5
  • Kui Wu — 9 papers, h 5
  • Kui Wu — 4 papers, h 3
  • Kui Wu — 2 papers, h 2
  • Kui Wu — 2 papers, h 1
  • Kui Wu — 1 paper

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

5 papers

cs.GR2026

HairLRM: Strand-based Hair Modeling via Large Reconstruction Models

Yuefan Shen, Yican Dong, Xiufeng Huang +3

The fundamental limitation of traditional strand-based modeling is not simply data scarcity, but the ill-posedness of inferring complex 3D fields from 2D imagery without structural…

cs.GR2026

Real-Time Neural Hair Denoising

Chenghao Wu, Yuefan Shen, Tao Huang +3

We propose a lightweight real-time method for reconstructing strand-based hair G-Buffers from severely undersampled rasterized inputs. Our pipeline first applies neural spatial rec…

cs.GR2026

Real-time Neural Six-way Lightmaps

Wei Li, Hanxiao Sun, Tao Huang +4

Participating media are a pervasive and intriguing visual effect in virtual environments. Unfortunately, rendering such phenomena in real-time is notoriously difficult due to the c…

cs.CV2025

Birth of a Painting: Differentiable Brushstroke Reconstruction

Ying Jiang, Jiayin Lu, Yunuo Chen +4

Painting embodies a unique form of visual storytelling, where the creation process is as significant as the final artwork. Although recent advances in generative models have enable…

cs.GR2025

Auto Hair Card Extraction for Smooth Hair with Differentiable Rendering

Zhongtian Zheng, Tao Huang, Haozhe Su +7

Hair cards remain a widely used representation for hair modeling in real-time applications, offering a practical trade-off between visual fidelity, memory usage, and performance. H…

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