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20192026
most citedDomain Adaptation on Point Clouds via Geometry-Aware Implicits

65 citations · 177 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.GR2026

HairCS: Reconstructing Strand-Based Hair from Hair Cards

Zixuan Lu, Tongtong Wang, Yuefan Shen +4

We present an automated pipeline that converts hair-card models into high-quality strand-based hairstyles. Given a collection of textured triangular or quad strips as input, our me…

cs.GR2026

Strand-based Hairstyle Generation via Large Reconstruction and Multimodal Models

Conghui Hao, Tao Huang, Yuefan Shen +3

Creating high-quality strand-based hairstyles in current production pipelines remains heavily dependent on skilled artists and time-consuming manual authoring, making it costly and…

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 G-Buffer Anti-Aliasing

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.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…

cs.GR2021★ 60 cited

GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks

Yuefan Shen, Hongbo Fu, Zhongshuo Du +5

In this paper, we present GCN-Denoiser, a novel feature-preserving mesh denoising method based on graph convolutional networks (GCNs). Unlike previous learning-based mesh denoising…

cs.GR2019★ 45 cited

DeepSketchHair: Deep Sketch-based 3D Hair Modeling

Yuefan Shen, Changgeng Zhang, Hongbo Fu +2

We present sketchhair, a deep learning based tool for interactive modeling of 3D hair from 2D sketches. Given a 3D bust model as reference, our sketching system takes as input a us…