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.

Email  /  CV  /  Google Scholar  /  LinkedIn

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Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models
Daniel Geng, Inbum Park, Andrew Owens
arXiv, 2023  
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  

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.


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

Source code credit to Dr. Jon Barron