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Factorized Diffusion: Perceptual Illusions by Noise Decomposition
Daniel Geng*,
Inbum Park*,
Andrew Owens
European Conference on Computer Vision (ECCV), 2024  
Another zero-shot framework that is able to generate various perceptual illusions like hybrid images,
by controlling linear components of an image, with connections to prior work in compositional generation and inverse problems.
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arXiv /
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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)  
A simple, zero-shot method for generating multi-view optical illusions, which are images that change their appearance or identity upon a transformation.
paper /
arXiv /
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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  
A study on erroneous images occasionally generated from flow-based models for inverse problems in imaging.
paper /
arXiv /
project
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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.
paper /
video
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Probabilistic Implicit Scene Completion
Dongsu Zhang,
Changwoon Choi,
Inbum Park,
Young Min Kim
International Conference on Learning Representations (ICLR), 2022 (Spotlight)  
A probabilistic approach to shape completion and scene reconstruction using 3D implicit representations.
paper /
arXiv /
code
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Misc
I am immersed in the choreography scene and also love learning languages, including French and Italian.
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