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I am a final-year ELLIS PhD candidate at the University of Amsterdam, working on computer vision and machine learning under the supervision of Prof. Dr. Theo Gevers. I am also delighted to collaborate with Prof. Anand Bhattad from JHU.
Before my PhD, I obtained my Master's degree (MSc) from Tsinghua University and my Bachelor's degree (BEng) from Chongqing University. I am a photography enthusiast 📸, I play the drums 🥁, and I love traveling (4 continents unlocked, 3 more to go) 🗺️. Email / LinkedIn / Google Scholar / GitHub |
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[Mar 2026] My intern project at GDM on generative scene relighting (GR3EN) is accepted to SIGGRAPH 2026! [Aug 2025] I started my student researcher position at GDM! [Feb 2025] LumiNet is accepted to CVPR 2025. Demo released! [Jun 2024] I gave an invited talk at the PBDL Workshop, CVPR 2024. [Oct 2023] I gave a contributed talk at the CV4Metaverse Workshop, ICCV 2023. [Jul 2023] I attended ICVSS 2023 in Sicily! [Feb 2023] I was nominated as an ELLIS PhD student! [Sep 2022] I started my PhD adventure 🤞! [Aug 2022] I arrived in the Netherlands! [Jun 2022] I graduated with a Master's degree (MSc) from Tsinghua University. [Apr 2022] I will join Delta Lab (funded by Bosch) at the University of Amsterdam as a PhD student, supervised by Prof. Dr. Theo Gevers. [Mar 2022] One paper accepted to CVPR 2022! [Mar 2022] One paper accepted to ICPR 2022 (early accepted)! |
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Photography is known as the art of illumination and color, a subject in which I have a great interest. My research focuses on understanding lighting and the intrinsic properties of the physical world through images, with particular emphasis on applications such as relighting. |
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Xiaoyan Xing, Philipp Henzler, Junhwa Hur, Runze Li, Jonathan T. Barron, Pratul P. Srinivasan, Dor Verbin SIGGRAPH 2026 arXiv / website Controllable room-scale 3D environment generative relighting. No intrinsics, no inverse rendering. |
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Xiaoyan Xing, Konrad Groh, Sezer Karaoglu, Theo Gevers, Anand Bhattad CVPR 2025 arXiv / website / code / demo Real-world indoor scene relighting without inverse rendering. |
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Xiaoyan Xing, Vincent Tao Hu, Jan Hendrik Metzen, Konrad Groh, Sezer Karaoglu, Theo Gevers Invited Talk @ PBDL Workshop, CVPR 2024 arXiv Diffusion models "know" the illumination, and we show how to control it. |
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Xiaoyan Xing, Konrad Groh, Sezer Karaoglu, Theo Gevers CV4Metaverse Workshop, ICCV 2023 (Oral) arXiv / paper / code Point cloud-based intrinsic appearance decomposition that generalizes to unseen scenes and shapes. |
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Xiaoyan Xing, Yanlin Qian, Sibo Feng, Yuhan Dong, Jiří Matas CVPR 2022 paper / code / data Leveraging point clouds with color and depth information to improve illumination estimation. |
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Xiaoyan Xing, Sibo Feng, Yanlin Qian, Yuhan Dong ICPR 2022 paper Efficient dual-illumination image synthesis for robust illumination map estimation. |
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Teaching Assistant, Big Data Experiment and Application, Spring 2021 Teaching Assistant, Public Health Statistics, Spring 2020 |
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Reviewer Vision/Graphics: SIGGRAPH, CVPR, ICCV, ECCV, IJCV ML/AI: ICML, ICLR, NeurIPS |
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This website is based on Jon's source code. |