8 citations · 9 across the 7 of their papers we have counts for
8 papers
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…
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…
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…
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…
Neural Laplacian Operator for 3D Point Clouds
Bo Pang, Zhongtian Zheng, Yilong Li +2
The discrete Laplacian operator holds a crucial role in 3D geometry processing, yet it is still challenging to define it on point clouds. Previous works mainly focused on construct…
RPBG: Towards Robust Neural Point-based Graphics in the Wild
Qingtian Zhu, Zizhuang Wei, Zhongtian Zheng +5
Point-based representations have recently gained popularity in novel view synthesis, for their unique advantages, e.g., intuitive geometric representation, simple manipulation, and…