5 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…
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…
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…