Aaron Inbum Park

I am a first year M.S. student at the University of Michigan, where I am majoring in Electrical and Computer Engineering (Computer Vision).

I am mostly interested in the area of computer vision, particularly image, shape, or motion reconstruction using generative models.

Research

	Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models Daniel Geng, Inbum Park, Andrew Owens Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Oral) paper / arXiv / project We generate multi-view optical illusions, which are images that change their appearance or identity upon a transformation, using off-the-shelf diffusion models.
	On the Robustness of Normalizing Flows for Inverse Problems in Imaging 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.
	Text2PointCloud: Text-Driven Stylization for Sparse PointCloud Inwoo Hwang, Hyeonwoo Kim, Donggeun Lim, Inbum Park, Young Min Kim Eurographics (Short Papers), 2023 paper A framework that stylizes and upsamples an uncolored, sparse pointcloud given a text description to render a high-quality 3D output.
	Probabilistic Implicit Scene Completion 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.

Misc

I am immersed in the choreography scene and learning French and Italian.

Source code credit to Dr. Jon Barron