65 citations · 177 across the 10 of their papers we have counts for
12 papers
HairFlow: Modeling 3D Hair Strands with Multi-Modal Conditioned Diffusion
Yating Wang, Kui Wu, Ran Yi +5
Modeling 3D hair strands is challenging due to complex hairstyle geometry, scarce high-quality training data, and incomplete or noisy input observations. Foundation models offer br…
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…
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…
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…
MonoHair: High-Fidelity Hair Modeling from a Monocular Video
Keyu Wu, Lingchen Yang, Zhiyi Kuang +6
Undoubtedly, high-fidelity 3D hair is crucial for achieving realism, artistic expression, and immersion in computer graphics. While existing 3D hair modeling methods have achieved…
AniDress: Animatable Loose-Dressed Avatar from Sparse Views Using Garment Rigging Model
Beijia Chen, Yuefan Shen, Qing Shuai +3
Recent communities have seen significant progress in building photo-realistic animatable avatars from sparse multi-view videos. However, current workflows struggle to render realis…
Domain Adaptation on Point Clouds via Geometry-Aware Implicits
Yuefan Shen, Yanchao Yang, Mi Yan +3
As a popular geometric representation, point clouds have attracted much attention in 3D vision, leading to many applications in autonomous driving and robotics. One important yet u…
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…
DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis
Yuefan Shen, Yanchao Yang, Youyi Zheng +2
We describe a method for unpaired realistic depth synthesis that learns diverse variations from the real-world depth scans and ensures geometric consistency between the synthetic a…
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…