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I am a master's student at the University of Michigan, advised by Prof. Andrew Owens. I obtained my bachelor's degree in Electrical and Computer Engineering from Seoul National University, where I was fortunate to work under Prof. Jungdam Won, Prof. Se Young Chun, and Prof. Young Min Kim. My research interests lie in the area of computer vision, especially leveraging generative models for image, shape, or motion reconstruction. Email / CV / Google Scholar / LinkedIn |
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Daniel Geng*, Inbum Park*, Andrew Owens arXiv, 2024 paper / arXiv / project We generate various perceptual illusions by controlling components of an image using off-the-shelf diffusion models. Our method can produce hybrid images and relates to prior work in compositional generation and inverse problems. |
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Daniel Geng, Inbum Park, Andrew Owens Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Oral) paper / arXiv / project A simple, zero-shot method for generating multi-view optical illusions, which are images that change their appearance or identity upon a transformation. |
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Seongmin Hong, Inbum Park, Se Young Chun International Conference on Computer Vision (ICCV), 2023 paper / arXiv / project A study on erroneous images occasionally generated from flow-based models for inverse problems in imaging. |
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Inwoo Hwang, Hyeonwoo Kim, Donggeun Lim, Inbum Park, Young Min Kim Eurographics (Short Papers), 2023 paper / video A framework that stylizes and upsamples an uncolored, sparse pointcloud given a text description to render a high-quality 3D output. |
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Dongsu Zhang, Changwoon Choi, Inbum Park, Young Min Kim International Conference on Learning Representations (ICLR), 2022 (Spotlight) paper / arXiv / code A probabilistic approach to shape completion and scene reconstruction using 3D implicit representations. |
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I am immersed in the choreography scene and also love learning languages, including French and Italian. |
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