Huamin Wang
Huamin Wang

Chief Scientist

Huamin Wang is the chief scientist at Style3D and he leads Style3D’s global research team. His research interests focus on high-performance, high-fidelity physics-based simulations accelerated by GPUs and enhanced by generative AI, with applications in computer graphics, computer vision, and machine learning.

Before joining Style3D, he was a tenured associate professor in the CSE department at the Ohio State University (2011 – 2021), and a postdoctoral researcher at UC Berkeley (2009 – 2011). He has served on the technical program committees of numerous conferences and chaired the technical programs of CASA 2017 and SCA 2023. He is an associate editor of IEEE TVCG and the Visual Computer.

For more information, including contact details, please refer to the CV.

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Interests
  • Computer graphics
  • Computer vision
  • Generative AI
  • Embodied AI
Education
  • Ph.D. in Computer Science, 2009

    Georgia Institute of Technology

  • M.S. in Computer Science, 2004

    Stanford University

  • B.Eng. in Computer Science, 2002

    Zhejiang University

Featured Publications
Recent Publications
(2025). Fast Physics-Based Modeling of Knots and Ties Using Templates. ACM SIGGRAPH 2025 Conference Papers.
(2025). High-Performance CPU Cloth Simulation Using Domain-Decomposed Projective Dynamics. ACM Trans. Graph. (SIGGRAPH).
(2025). JGS2: Near Second-Order Converging Jacobi/Gauss-Seidel for GPU Elastodynamics. ACM Trans. Graph. (SIGGRAPH).
(2025). Physics-inspired Estimation of Optimal Cloth Mesh Resolution. ACM SIGGRAPH 2025 Conference Papers.
(2025). Automated Task Scheduling for Cloth and Deformable Body Simulations in Heterogeneous Computing Environments. ACM SIGGRAPH 2025 Conference Papers.
(2025). Design2GarmentCode: Turning Design Concepts to Tangible Garments Through Program Synthesis. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
(2025). GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture Details. International Conference on 3D Vision (3DV).
(2024). FashionR2R: Texture-Preserving Rendered-to-Real Image Translation with Diffusion Models. Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems (NeurIPS).
(2024). Efficient GPU Cloth Simulation with Non-Distance Barriers and Subspace Reuse. ACM Trans. Graph. (SIGGRAPH Asia).
(2024). Volumetric Homogenization for Knitwear Simulation. ACM Trans. Graph. (SIGGRAPH Asia).