Chengan He

Chengan He

Cheng'an He's website

Cheng'an He's website

Material and Texture Models

2025

Perm: A Parametric Representation for Multi-Style 3D Hair Modeling

C. 'an He, Sun, X., Shu, Z., Luan, F., Pirk, S., Herrera, J. Alejandro, Michels, D. L., Wang, T. Y., Zhang, M., Rushmeier, H., and Zhou, Y., “Perm: A Parametric Representation for Multi-Style 3D Hair Modeling”, in International Conference on Learning Representations (ICLR), 2025. Downloads:

perm_iclr25.pdf
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Chang-E: A High-Quality Motion Capture Dataset of Chinese Classical Dunhuang Dance

Z. Wang, He, C. 'an, Yan, Z., Wang, J., Wang, Y., Liu, J., Shen, A., Zeng, M., Rushmeier, H., Xu, H., Yu, B., Lu, C., and Wang, E. Y., “Chang-E: A High-Quality Motion Capture Dataset of Chinese Classical Dunhuang Dance”, ACM Journal on Computing and Cultural Heritage, 2025. Downloads:

change_jocch.pdf
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3DGH: 3D Head Generation with Composable Hair and Face

C. 'an He, Li, J., Kirschstein, T., Sevastopolsky, A., Saito, S., Tan, Q., Romero, J., Cao, C., Rushmeier, H., and Nam, G., “3DGH: 3D Head Generation with Composable Hair and Face”, ACM Transactions on Graphics (SIGGRAPH), vol. 44, no. 4, 2025. Downloads:

3dgh_sig25.pdf
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Augmented Mass-Spring Model for Real-Time Dense Hair Simulation

J. Alejandro Herrera, Zhou, Y., Sun, X., Shu, Z., He, C. 'an, Pirk, S., and Michels, D. L., “Augmented Mass-Spring Model for Real-Time Dense Hair Simulation”, in IEEE/CVF International Conference on Computer Vision (ICCV), 2025. Downloads:

ams_iccv25_1.pdf
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2024

Digital Salon: An AI and Physics-Driven Tool for 3D Hair Grooming and Simulation

C. 'an He, Herrera, J. Alejandro, Zhou, Y., Shu, Z., Sun, X., Feng, Y., Pirk, S., Michels, D. L., Zhang, M., Wang, T. Y., and Rushmeier, H., “Digital Salon: An AI and Physics-Driven Tool for 3D Hair Grooming and Simulation”, in SIGGRAPH Asia 2024 Real-Time Live!, 2024. Downloads:

digital_salon_siga24.pdf
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2022

An Inverse Procedural Modeling Pipeline for SVBRDF Maps

Y. Hu, He, C. 'an, Deschaintre, V., Dorsey, J., and Rushmeier, H., “An Inverse Procedural Modeling Pipeline for SVBRDF Maps”, ACM Transactions on Graphics (Presented at SIGGRAPH 2022), vol. 41, no. 2, 2022. Downloads:

ipmm_preprint.pdf
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NeMF: Neural Motion Fields for Kinematic Animation

C. 'an He, Saito, J., Zachary, J., Rushmeier, H., and Zhou, Y., “NeMF: Neural Motion Fields for Kinematic Animation”, in Advances in Neural Information Processing Systems (NeurIPS), 2022. Downloads:

nemf_neurips22.pdf
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