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GaussianHair: Hair Modeling and Rendering with Light-aware Gaussians
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Hairstyle reflects culture and ethnicity at first glance. In the digital era, various realistic human hairstyles are also critical to high-fidelity digital human assets for beauty and inclusivity. Yet, realistic hair modeling and real-time rendering for animation is a formidable challenge due to its sheer number of strands, complicated structures of geometry, and sophisticated interaction with light. This paper presents GaussianHair, a novel explicit hair representation. It enables comprehensive modeling of hair geometry and appearance from images, fostering innovative illumination effects and dynamic animation capabilities. At the heart of GaussianHair is the novel concept of representing each hair strand as a sequence of connected cylindrical 3D Gaussian primitives. This approach not only retains the hair's geometric structure and appearance but also allows for efficient rasterization onto a 2D image plane, facilitating differentiable volumetric rendering. We further enhance this model with the "GaussianHair Scattering Model", adept at recreating the slender structure of hair strands and accurately capturing their local diffuse color in uniform lighting. Through extensive experiments, we substantiate that GaussianHair achieves breakthroughs in both geometric and appearance fidelity, transcending the limitations encountered in state-of-the-art methods for hair reconstruction. Beyond representation, GaussianHair extends to support editing, relighting, and dynamic rendering of hair, offering seamless integration with conventional CG pipeline workflows. Complementing these advancements, we have compiled an extensive dataset of real human hair, each with meticulously detailed strand geometry, to propel further research in this field.
Forward citations
Cited by 11 Pith papers
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MoZoo:Unleashing Video Diffusion power in animal fur and muscle simulation
MoZoo generates high-fidelity animal videos with fur and muscle dynamics from coarse meshes by extending video diffusion with role-aware RoPE and asymmetric decoupled attention, trained on a new synthetic-to-real dataset.
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GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar
GeoAvatar improves 3D head avatar quality by adaptively regulating Gaussian offsets per facial region, adding a detailed mouth structure with part-wise deformation, and releasing a new expressive monocular dataset, Dy...
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Wispy to Voluminous: Prior-free Multi-view Capture of Strand-level Facial Hair
Four-stage pipeline reconstructs explicit facial hair strands from multi-view images via 3D Gaussian optimization and curve tracing, claimed as first such method.
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PhysHead: Simulation-Ready Gaussian Head Avatars
PhysHead builds simulation-ready head avatars by layering 3D Gaussians on a head mesh and physics-simulatable hair strands, enabling wind-blown and expression-driven hair motion from video data.
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CGHair: Compact Gaussian Hair Reconstruction with Card Clustering
Hierarchical card clustering plus shared Gaussian texture codebooks reconstructs multi-view hair with 200x lower memory and 4x faster strand generation while matching prior 3DGS visual quality.
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Im2Haircut: Single-view Strand-based Hair Reconstruction for Human Avatars
A synthetic-and-real trained transformer prior plus Gaussian-splatting optimization reconstructs strand-based 3D hairstyles from a single photograph.
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HairCUP: Hair Compositional Universal Prior for 3D Gaussian Avatars
HairCUP trains a universal 3D avatar prior with separately modeled face and hair, using synthetic bald images, enabling hairstyle swapping and few-shot personalization.
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GeomHair: Reconstruction of Hair Strands from Colorless 3D Scans
GeomHair reconstructs hair strands from colorless 3D scans via orientation estimation from shading and a scan-adapted diffusion prior, while releasing the Strands400 dataset of 400 real-subject reconstructions.
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HairGS: Hair Strand Reconstruction based on 3D Gaussian Splatting
HairGS reconstructs 3D hair strands from multi-view images in about one hour by fitting 3D Gaussians, merging them into strands with distance and direction rules, and refining them against the photos.
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Digital Salon: An AI and Physics-Driven Tool for 3D Hair Grooming and Simulation
An interactive system that combines text-based 3D hair retrieval, real-time simulation, grooming, and AI rendering to let users rapidly prototype hairstyles.
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A Survey on 3D Gaussian Splatting
A survey compiling principles, applications, benchmarks, and challenges of 3D Gaussian Splatting for explicit 3D scene representation.
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