AI RESEARCH
CGHair: Compact Gaussian Hair Reconstruction with Card Clustering
arXiv CS.CV
•
ArXi:2604.03716v1 Announce Type: new We present a compact pipeline for high-fidelity hair reconstruction from multi-view images. While recent 3D Gaussian Splatting (3DGS) methods achieve realistic results, they often require millions of primitives, leading to high storage and rendering costs. Observing that hair exhibits structural and visual similarities across a hairstyle, we cluster strands into representative hair cards and group these into shared texture codebooks.