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Jae Shin Yoon is a Research Scientist at Adobe Research. His research interests are solving the problem of high-quality reconstruction and generalization of digitized human avatar over temporal domain by modeling, rendering, and adapting humans from a single camera with computer vision, graphics, and machine learning knowledge. Jae Shin received PhD degree in Computer Science at the University of Minnesota advised by Prof. Hyun Soo Park. Jae Shin obtained his B.S. from Hanyang University, South Korea in 2015. He then moved to Korea Institute of Science and Technology (KAIST) and finished his M.S. in 2017.

For more information about him and his work please visit his personal webpage.

Publications

IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models

Luo, J., Ceylan, D., Yoon, J., Zhao, N., Philip, J., Frühstück, A., Li, W., Richardt, C., Wang, T. (Aug. 2, 2024)

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Relightful Harmonization: Lighting-aware Portrait Background Replacement

Ren, M., Xiong, W., Yoon, J., Shu, Z., Zhang, J., Jung, H., Gerig, G., Zhang, H. (Jun. 17, 2024)

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Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera

Yoon, J., Ceylan, D., Wang, T., Lu, J., Yang, J., Shu, Z., Park, H. (Jun. 19, 2022)

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