Published in International Conference on Machine Learning (ICML), 2025
This paper is about pruning large text encoder in T2I diffusion model for memory efficient image synthesis.
Authors: Hoigi Seo*, Wongi Jeong*, Jae-sun Seo, and Se Young Chun. (* co-first author)
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Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), The 2nd Workshop on Efficient and On-Device Generation (EDGE), 2025
This paper is about training models to tackle affordance grounding with weakly supervised learning.
Authors: Hoigi Seo*, Wongi Jeong*, Kyungryeol Lee, and Se Young Chun. (* co-first author)
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Published in European Conference on Computer Vision (ECCV), Twelfth International Workshop on Assistive Computer Vision and Robotics (ACVR24) (oral), 2024
This paper is about training models to tackle affordance grounding with weakly supervised learning.
Authors: Ji Ha Jang*, Hoigi Seo*, and Se Young Chun. (* co-first author)
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Published in European Conference on Computer Vision (ECCV), 2024
This paper is about generating human-centric ultra-high resolution image with pre-trained diffusion model.
Authors: Gwanghyun Kim*, Hayeon Kim*, Hoigi Seo*, Dong Un Kang*, and Se Young Chun. (* co-first author)
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Published in International Society for Magnetic Resonance in Medicine (ISMRM) (oral, Summa cum laude), 2025
This paper is about harmonizing MR image for a black-box deep learning model
Authors: Minjun Kim, Hwihun Jeong, Hoigi Seo, Se Young Chun, and Jongho Lee
Published in arXiv, 2025
This paper is about analyzing its geometrical properties in cross-attention and leverage its properties for strong semantic binding.
Authors: Hoigi Seo*, Junseo Bang*, Haechang Lee*, Joohoon Lee, Byung Hyun Lee, and Se Young Chun. (* co-first author)
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Published in arXiv, 2023
This paper is about generate diverse 3D object with pre-trained 2D diffusion model.
Authors: Hoigi Seo*, Hayeon Kim, Gwanghyun Kim and Se Young Chun. (* co-first author)
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