I am currently a Ph.D. student in the State Key Lab of CAD&CG, Zhejiang University, supervised by Prof.Hongzhi Wu. In 2024, I worked closely with Yiwei Hu, Valentin Deschaintre and Miloš Hašan as a Research Scientist Intern at Adobe Research. Before my Ph.D., I received my Bachelor degree of engineering from Sun Yat-sen University in 2019.
My research focuses on appearance acquisition, representation, and rendering in computer graphics. Currently, I am particularly interested in multi-modal material generation using advanced techniques.
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OpenSVBRDF: A Database of Measured Spatially-Varying Reflectance Xiaohe Ma, Xianmin Xu, Leyao Zhang, Kun Zhou and Hongzhi Wu ACM Trans. Graph. (Proc. SIGGRAPH Asia 2023), 42, 6 (Dec. 2023), 254.
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Efficient Reflectance Capture with a Deep Gated Mixture-of-Experts Xiaohe Ma, Yaxin Yu, Hongzhi Wu and Kun Zhou IEEE TVCG, 30, 7(July 2024), 4246-4256.
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Free-form Scanning of Non-planar Appearance with Neural Trace Photography Xiaohe Ma, Kaizhang Kang, Ruisheng Zhu, Hongzhi Wu and Kun Zhou ACM Trans. Graph. (Proc. SIGGRAPH 2021), 40, 4 (Aug. 2021), 124. Patent# CN113362466A/WO2022256962 |
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Learning Efficient Photometric Feature Transform for Multi-view Stereo Kaizhang Kang, Cihui Xie, Ruisheng Zhu, Xiaohe Ma, Ping Tan, Hongzhi Wu and Kun Zhou ICCV 2021 (pp. 5956-5965).
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Adobe Inc., San Jose, California, U.S. Research Scientist Intern, Adobe Research Jun. 2024 - Sep. 2024 Developed a Multi-Modal Material Generation with Diffusion Transformers, conditioned on image crops and/or text prompts. |