HairGPT reframes 3D hairstyle synthesis as dual-decoupled autoregressive strand sequence modeling with geometric tokenization for semantic control and rare style generation.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
EfficientMonoHair achieves strand-level hair reconstruction from monocular video with quality comparable to state-of-the-art methods but nearly an order of magnitude faster by using fusion-patch multi-view optimization and parallel hair-growing.
citing papers explorer
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HairGPT: Strand-as-Language Autoregressive Modeling for Realistic 3D Hairstyle Synthesis
HairGPT reframes 3D hairstyle synthesis as dual-decoupled autoregressive strand sequence modeling with geometric tokenization for semantic control and rare style generation.
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EfficientMonoHair: Fast Strand-Level Reconstruction from Monocular Video via Multi-View Direction Fusion
EfficientMonoHair achieves strand-level hair reconstruction from monocular video with quality comparable to state-of-the-art methods but nearly an order of magnitude faster by using fusion-patch multi-view optimization and parallel hair-growing.